2552 Synthesize Jobs - Page 17

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030690

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030708

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030716

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030727

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030703

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030688

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Note: This is a Fixed Term Contractual Role Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030701

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030746

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031059

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Strong understanding of U.S.-based culture, society, and norms. Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030728

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030748

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030739

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3031060

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030768

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030723

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030725

Whether you started from the product side and developed technical skills or started as a technical resource, you have a knack for the product side of the business. You possess the necessary technical product knowledge to drive strategic conversations about the product and enhance value to Equifax and its customers. Equifax is seeking a technical product owner who is a master at bridging the desires of the customer and the capabilities of the technology, removing barriers to software development. You will be responsible for grooming the product backlog and have insight into technical requirements of individual stories thus creating a more efficient user experience. What You Will Do Connects with the Customer in partnership with Product Management - Know the customer & stakeholders: Understands the needs of customers and stakeholders in a broader context; Develops partnership relationships with key engineering and QA counterparts and engages with Architecture teams as needed; Understands the Problem(s) to be solved: Participates in interviews with users, customers and stakeholders to understand requirements; Can articulate and decompose the work into discrete increments that align to customer needs; Provides inputs in business/technical requirements definition; Develops whole product solutions: Understands the end product/functionality needed and can articulate a broader need to deliver a more holistic solution; Provides guidance to engineering and QA teams when clarity about business requirements is needed. Contributes to the Plan and Roadmap - Solutioning and Estimation: Active participant in solutioning and epic decomposition process to groom the backlog of stories, as well as initial t-shirt sizing sessions; Provides inputs to QE partners to ensure testing approach and high level use cases are considered in the solution and estimation; Helps drive MVP definition with stakeholders when applicable; Dependency management: Drives the process to identify, capture and document dependencies required to deliver the plan in partnership with engineering and architecture teams; Interacts with dependent teams to understand dependencies; Backlog Prioritization and planning: Active participant in the process of initial estimates and value/effort assessment to define scope of quarterly increments; Contributes to the analysis of how work should be sequenced and the implications to the critical path. Manages & Prioritizes Team Backlog(s) - User Story creation: Reviews initial drafts of stories developed and/or contributes to refinement for Product Management review; Prioritization and sprint planning: Aligns prioritization with Product Management and Product Owner best practices for defined backlog; Creates sprint, sprint goal, ensures sprint plans are in place for the current sprint and the subsequent two sprints; Drives alignment with upstream dependencies to deliver; Testing and Acceptance Criteria: Drives adherence to story acceptance criteria to ensure development team delivers according to desired outcome and readiness checklist; Partners with QE and Engineering lead to define testing approach, scope and planning; Provides final sign-off/acceptance of stories; Demos: Reviews initial drafts and partners with product managers to prepare sprint/quarterly demos. Is capable of presenting the demo itself. Getting and Applying Feedback & Lessons Learned - Captures feedback from Demos: Actively lead documentation and synthesize feedback from demos for tangible future work efforts to be considered in the backlog with Product Management; Delivery Retrospectives: Velocity, quality (incidents/bugs), reasons for delays: Understands drivers of team velocity; Understands testing gaps that drove incidents and bugs; Understands drivers for delays in committed deliverables; Synthetizes learnings and proposes a prioritized set of changes in partnership with technology partners; Monitors adoption KPIs: Understands metrics driving the adoption success of the released value and proposes changes to upcoming deliverables to drive improvements; Adopts feedback in future iterations: Drives the scope and/or changes to new release increments to feedback collected. What Experience You Need Bachelor's degree in a related discipline strongly preferred; equivalent experience may be considered 5-7 years of product owner experience in a cloud-based and/or SaaS environment Working experience using Agile methodologies, facilitating Agile ceremonies and Lean product management required Working experience with data structures, data analytics and AI concepts preferred Experience working with cross functional teams preferred Exposure and experience understanding and tracking capacity against the budget of product initiatives Cloud certification strongly preferred What Could Set You Apart You have the ability build strong relationships with partners across the business; ensure that you understand their role, the needs of their area, and their requirements throughout the project You are a self-starter who is organized, detail oriented, takes initiative with minimal direction, and understands concepts quickly You understand the value of product ownership and can effectively communicate the value proposition You have experience working with multiple partners in a global setting with varying level of needs You bring a consultative, creative and process driven approach to your work You have an aptitude for handling multiple concurrent demands and prioritizing responsibilities in a dynamic, high energy environment Your problem-solving skills enable you to effectively and creatively find solutions for hard problems while maintaining a high level of professionalism and integrity Engage and collaborate with all stakeholders, make people feel heard and understood, are able to say no and stand up for tough calls needed to better serve the business and our clients

At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as Financial Crime Issues Management Oversight Lead - Vice President, where you'll spearhead the evolution of our Fin crime team you will join a team within Issues Management Oversight (IMO), part of Financial Crime Risk Controls and Transformation, is responsible for overseeing the financial crime-related issues environment across BBPLC businesses. The team plays a critical role in supporting the BBPLC Head of Financial Crime and Business Unit Heads of Financial Crime by providing issues oversight, check &challenge, training, and financial crime specific guidance, to ensure the effective operation of the issues management framework. This includes ensuring consistency, driving accountability, and supporting continuous improvement through training and stakeholder engagement.­­­­­­­­­­­­­­­­­­ Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management. To be successful as a Financial Crime Issues Management Oversight Lead - Vice President , you should have experience with: Deep Subject Matter Expertise: Demonstrates authoritative knowledge of Financial Crime regulation, policy, and risk mitigation strategies, with the ability to translate complex regulatory expectations into practical oversight. Strategic Business Insight: Strong understanding of diverse business segments and their associated Financial Crime risks, enabling effective prioritization and tailored oversight across multiple business lines. Solutions-Oriented: Brings a forward-thinking mindset to the role, identifying opportunities for innovation and continuous improvement. Proven ability to lead and deliver complex programmes of work from inception through to execution. Leadership and Influence: Experienced in managing and developing high-performing teams. Skilled at influencing senior stakeholders and cross-functional partners to drive alignment and embed a culture of accountability and excellence. Exceptional Communication and Organization: Highly structured and organized, with outstanding written and verbal communication skills. Able to distil complex issues into clear, actionable insights for senior audiences. Analytical: Strong analytical capability with a track record of identifying thematic trends and emerging risks through data-driven insights. Able to synthesize large volumes of information to inform strategic decision-making. Education: Bachelor’s or master’s degree required. Some Other Highly Valued Skills May Include Relevant professional qualifications are desirable. Knowledge of Bank compliance business lines, associated products and operational infrastructure. Previous experience coaching & developing colleagues in an SME capacity. Proficiency with Microsoft Office ( Excel, Word, PowerPoint etc). Previous experience using ORAC. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The location of the role is Pune, IN. Purpose of the role To oversee and manage the identification, tracking, and resolution of issues raised against the Compliance Horizontal / Standards, ensuring the bank operates within legal and regulatory frameworks, mitigating risks associated with non-adherence to these Standards. Accountabilities Monitoring and maintenance of Compliance Horizontal aligned issues raised in the bank’s risk management system containing sufficient details to confirm alignment to the Compliance Horizontal, are articulated and risk rated in line with the bank’s risk management frameworks and contain action plans that mitigate the identified Compliance Risk. Escalation of unresolved or high-risk Compliance Risk issues to senior leaders and relevant committees . Provision of expert advice and guidance to Compliance colleagues on the bank’s Issues Management Standard, including data attribution root cause analysis and creating SMART action plans. Conducting periodic reviews and assessments to evaluate the effectiveness of the issue management process and identify areas for improvement. Build, development and maintenance of effective relationships between Compliance Issue Management and stakeholders across Business Oversight Compliance, the Chief Controls Office and the business. Demonstrating an execution focussed mindset to ensure that Issues Management deliverables are executed at pace. Continued focus on the Barclays Mindset and Consistently Excellent to enhance the Assurance that we deliver, how it is delivered and the culture within the bank. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

Job Title – IMU Digital RTM Consultant Management Level: 09 – Consultant Location: Delhi/Mumbai Job Summary: We are looking for a Route-To-Market (RTM) Consultant to join our high-impact team that partners with clients to solve critical growth and sales productivity challenges. The ideal candidate comes with a background in consulting (Big 4) or leading FMCG companies and brings expertise in end-to-end sales transformation, including strategy, processes, technology, and frontline execution. This role involves building capabilities for client sales teams, driving demand generation, and optimizing go-to-market models to unlock growth and reduce costs. Roles & Responsibilities: Experience in one or more of the following roles/functions: Channel Sales / General Trade / Modern Trade (supermarkets, organized retail) E-commerce or Quick Commerce (JioMart, Blinkit, Swiggy Instamart, etc.) Trade / Customer / Shopper Marketing Brand or Product Management in top-tier FMCG / CPG companies Proven track record of driving sales growth, demand generation, and/or route-to-market transformation Lead end-to-end RTM transformation projects (ranging 5–24 months), across distribution, in-store execution, outlet activation, and trade strategy Evaluate existing sales organization structures, roles, territories, and productivity benchmarks Develop RTM playbooks, sales frameworks, and trade channel strategy tailored to client’s markets and customer segments Build demand-generation plans with the client — including sales KPIs, activation campaigns, and outlet targeting Design and implement capability-building programs for sales teams (tools, training, metrics) Strong commercial acumen with a good understanding of field realities (store-level execution, outlet coverage, merchandising, etc.) Extensive travelling to understand markets, assess execution, and engage with frontline teams Professional & Technical Skills: Experience in designing or transforming end-to-end sales organizations Deep understanding of distribution systems, retail execution, and channel/channel partner management Familiarity with eCommerce/Quick Commerce platforms and how to drive digital shelf growth Experience working with or alongside trade marketing, category management, or shopper teams Knowledge of how sales capability, training programs, and incentive structures impact frontline performance Strong proficiency in Excel/PowerPoint; familiarity with analytics and project tracking tools (e.g., Power BI, Tableau, Monday.com, etc.) Ability to synthesize insights from market visits and frontline shadowing into strategic recommendations Strong stakeholder management with senior clients across sales, marketing, and business leadership Additional Information: NA About Our Company | Accenture

Job Title – IMU Digital RTM Manager Management Level: 07 – Manager Location: Delhi/Mumbai Job Summary: We are looking for a Route-To-Market (RTM) Manager to join our high-impact team that partners with clients to solve critical growth and sales productivity challenges. The ideal candidate comes with a background in consulting (Big 4) or leading FMCG companies and brings expertise in end-to-end sales transformation, including strategy, processes, technology, and frontline execution. This role involves building capabilities for client sales teams, driving demand generation, and optimizing go-to-market models to unlock growth and reduce costs. Roles & Responsibilities: Experience in one or more of the following roles/functions: Channel Sales / General Trade / Modern Trade (supermarkets, organized retail) E-commerce or Quick Commerce (JioMart, Blinkit, Swiggy Instamart, etc.) Trade / Customer / Shopper Marketing Brand or Product Management in top-tier FMCG / CPG companies Proven track record of driving sales growth, demand generation, and/or route-to-market transformation Lead end-to-end RTM transformation projects (ranging 5–24 months), across distribution, in-store execution, outlet activation, and trade strategy Evaluate existing sales organization structures, roles, territories, and productivity benchmarks Develop RTM playbooks, sales frameworks, and trade channel strategy tailored to client’s markets and customer segments Build demand-generation plans with the client — including sales KPIs, activation campaigns, and outlet targeting Design and implement capability-building programs for sales teams (tools, training, metrics) Strong commercial acumen with a good understanding of field realities (store-level execution, outlet coverage, merchandising, etc.) Extensive travelling to understand markets, assess execution, and engage with frontline teams Professional & Technical Skills: Experience in designing or transforming end-to-end sales organizations Deep understanding of distribution systems, retail execution, and channel/channel partner management Familiarity with eCommerce/Quick Commerce platforms and how to drive digital shelf growth Experience working with or alongside trade marketing, category management, or shopper teams Knowledge of how sales capability, training programs, and incentive structures impact frontline performance Strong proficiency in Excel/PowerPoint; familiarity with analytics and project tracking tools (e.g., Power BI, Tableau, Monday.com, etc.) Ability to synthesize insights from market visits and frontline shadowing into strategic recommendations Strong stakeholder management with senior clients across sales, marketing, and business leadership Additional Information: NA About Our Company | Accenture , Experience: Minimum 9 year(s) of experience is required Educational Qualification: Master’s degree in business administration (MBA) or post graduate degree in management (PGDM) from premier institutes preferred

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Business Requirements Analysis Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : Bachelors in Engineering Technology Mandatory Masters degree in Business Engineering or related fields Preferred 8 years in the Oil Gas industry with at least 4 years in fuel retail ops and support Summary: As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Your typical day will involve collaborating with various stakeholders to gather and synthesize information, identifying customer requirements, and defining future business solutions. You will assess the current state of operations and work towards enhancing efficiency and effectiveness through strategic recommendations and innovative solutions. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate workshops and meetings to gather requirements and ensure alignment among stakeholders. - Develop comprehensive documentation to support business processes and system designs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis. - Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL). - Strong analytical skills to assess business processes and identify areas for improvement. - Excellent communication skills to effectively convey complex information to diverse audiences. - Ability to work collaboratively in a team environment and manage multiple priorities. Additional Information: - The candidate should have minimum 7.5 years of experience in Business Requirements Analysis. - This position is based in Mumbai. - A Bachelors in Engineering Technology is mandatory; a Masters degree in Business Engineering or related fields is preferred.

Job Description Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA Our Human Health Digital Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will ’connect the dots’ across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities Pipeline Analytics & Insights Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience And Skills Bachelor's degree, preferably in a scientific, engineering, or business-related field. Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (e.g., excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc.) Deep understanding of commercial Oncology global data ecosystem e.g., Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can “engage as equals.” Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience And Skills Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology and/or emerging oncology therapies (especially in women's cancer, breast cancer and gastrointestinal cancer) and companion Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (e.g. PowerBI) Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Biopharmaceutical Industry, Business Decisions, Business Intelligence (BI), Collaborative Communications, Collaborative Development, Cross-Functional Teamwork, Database Design, Data Engineering, Data Forecasting, Data Modeling, Data Science, Data Visualization, Digital Analytics, Health Data Analytics, Machine Learning, Patient Flow, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Strategic Insights, Waterfall Model Preferred Skills Job Posting End Date 08/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R353741

Summary Position Summary Mergers & Acquisitions / Restructuring At Deloitte’s USI Mergers & Acquisitions and Restructuring (M&A/R) team, we are looking for Analyst and Consultants for our practice, with relevant experience in M&A. We are looking for a highly motivated individual with strong analytics skills to be part of the Merger & Acquisitions and Restructuring group who can work towards attaining profitable growth, strategically managing costs and intelligently navigatingrisks. Work you will do: We guide M&A initiatives for companies to help expand and accelerate revenue and cost synergies, reduce transaction risk and retain key talent, even as they make structural changes to their business, operating model or capital model. Your day-to-day responsibilities will include: Participate in engagement m anagementincluding: Own and manage specific work threads Develop plans for components of engagements Coordinate activities between different work threads Identify and help manage changes in scope Manage and mentor junior resources Develop and maintain working relationships with client counterparts Develop client deliverables anddocumentation: Identify and select the most relevant set of tools/techniques to meet client requirements such as business case development, financial modeling and analysis, etc. Analyze and interpret project data, draw conclusions and develop recommendations based on the result of the specific outputs Use analytics to build strategic insights for the client Synthesize and present insights and recommendations Strive to improve deliverable quality through verification and validation of results Conduct client interviews, participate in workshops and training sessions, and presentrecommendations The Team The M&A/R team bring deep industry experience, rigorous analytical capabilities and a pragmatic mindset to solve clients' most complex business problems. Our operational capabilities address the unique issues faced by manufacturing organizations, service businesses and infrastructure operations. These are combined with capabilities in finance, performance management and business restructuring. Our teams take the lead on delivering all aspects of the people side of transactions to our clients. We leverage commercial awareness and professional expertise, along with using the skills and expertise of others, to deliver the best possible experience and outcomes for our clients. Capabilities of an M&A practitioner will include the following: Developing an M&A strategy Providing buy-side and sell-side advisory support, screening targets and undertaking due diligence Optimizing the operating model and organization design Targeting synergies, developing a roadmap to help realize those synergies and measuring synergies Preparing for Day-One/ Day-Two readiness and executing the plan Developing communications for culture and change management Integrating supply chains, distribution networks, R&D, finance, procurement, real estate and innovation Aligning customers, sales, marketing and back-offices Developing carve-out financial statements Formulating organizational separation and re-alignment strategies Optimizing transition services agreement (TSA) Identifying and eliminating stranded costs Required Qualifications MBA is mandatory. Engineering undergrad is a plus but not mandatory 2-6 years of relevant experience for Consultant Bengaluru / Hyderabad / Mumbai /Delhi Preferred Qualifications Consulting Background M&A advisory experience Commercial/ Operational due diligence experience Prior investment banking experience on the sell/ buy side Specific functional knowledge in areas of Finance, IT, Contracts management, procurement etc Demonstrated experience in financial statement and operations analytics Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306474

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Manager, Global Regulatory Intelligence The Global Regulatory Policy & Intelligence (GRPI) group at Amgen engages with regulators, industry associations, and other stakeholders externally, and internally it manages regulatory intelligence for GRAAS – monitoring, analyzing, and communicating regulatory requirements worldwide to enable fast, efficient global filings. The Senior Manager, as part of this team, plays a pivotal role in executing the regulatory intelligence function. Key Responsibilities: Regulatory Intelligence Deliverables: Contribute to the monitoring and analysis of the global regulatory landscape and develop agreed intelligence deliverables under the supervision of the Regulatory Intelligence Director. This includes producing regulatory intelligence outputs that enable timely and efficient product filings worldwide – for example, compiling summaries of country-specific regulatory requirements, analyzing recent or upcoming changes in regulations, and providing recommendations to teams on filing strategies that maximize speed and compliance. The Senior Manager is accountable for delivering these assigned intelligence outputs to a high standard of quality. Processes & Systems Ownership: Oversee the efficient operation of specific intelligence-gathering systems and processes. The Senior Manager may be responsible for maintaining and improving tools or databases used for monitoring regulations and for ensuring that intelligence monitoring, analysis, and communication processes run smoothly in their area of ownership. They work in partnership with colleagues across GRAAS to refine these systems and may evaluate opportunities for automation or outsourcing to improve efficiency. Regulatory Analysis & Strategy Input: Analyze regulatory trends across Amgen’s global footprint, identifying differences and commonalities in submission requirements between regions or product types. Based on this analysis, recommend practical approaches to dossier content and preparation that will satisfy local requirements while enabling globally efficient submissions. The Senior Manager provides this strategic input to global and local regulatory teams to influence filing strategies and ensure alignment with intelligence insights. They also identify major impending regulatory changes and help plan for regulatory change management efforts across the business (providing input to any large regulatory change projects). Cross-Functional Collaboration: Develop trusted relationships with cross-functional colleagues – including Global and Local Regulatory Affairs teams, Regulatory CMC, Policy staff, and others – to integrate intelligence into regulatory strategy and decision-making. The Senior Manager engages GRAAS policy staff, product strategy leads, and other experts to help establish priorities for intelligence activities and to execute on agreed deliverables. They often lead or coordinate cross-product regulatory projects (such as analyses to support multiple product filings) under the direction of the RI Director. In doing so, they ensure that intelligence findings are translated into actionable strategies and that any recommendations for policy advocacy (to promote global harmonization of requirements, for example) are communicated to the relevant teams. Continuous Improvement: Engage in continuous improvement of Regulatory Intelligence processes. The Senior Manager monitors progress against intelligence workplans and objectives, and conducts regular reviews with the RI Director to report on outcomes. They propose and implement enhancements to tools, methodologies, and workflows to increase the effectiveness of intelligence gathering and dissemination. For instance, they might help refine how regulatory information is captured and shared, contribute to templating requirements for future automation projects, or update procedures in response to lessons learned. Knowledge & Skills: Regulatory Expertise: A strong foundation in regulatory affairs is required. The Senior Manager should have recent global filing experience and in-depth knowledge of regulatory agency guidelines and procedures across major and non-major markets. An understanding of local regulatory processes and how they impact global submissions is important. The role demands the ability to synthesize complex regulatory information (from disparate sources and regions) and distill it into clear, actionable insights and recommendations. Project Management & Communication: Excellent project management skills are needed to handle multiple intelligence projects and deliverables. The Senior Manager must be able to track tasks, meet deadlines, and coordinate input from various contributors. Strong presentation and interpersonal communication skills are essential in order to effectively communicate intelligence findings to stakeholders and to represent the intelligence function in cross-functional discussions. The ability to influence without direct authority (especially when recommending changes to regulatory strategy based on intelligence) is a key soft skill for this role. Technical and Process Skills: Preferred candidates will bring experience in systems management and process management, as the role involves working with databases/tools and improving processes for information gathering. Familiarity with knowledge management practices and change management principles is also beneficial – for example, knowing how to systematically capture regulatory knowledge and support teams through major regulatory changes. An innovative mindset toward leveraging technology (including potential use of AI tools for intelligence) is a plus, given Amgen’s interest in future automation of submission-ready content. Qualifications: Basic Qualifications: A combination of advanced education and relevant experience in life sciences/regulatory affairs. For instance, a Doctorate degree in a related field with ~4+ years of experience, Master’s degree with ~3+ years, Bachelor’s degree with ~5+ years, Associate’s degree with ~10 years, or even a high school diploma/GED with ~12 years of directly related experience could be considered acceptable minimums. (These ranges align with internal job level guidelines for a role at the Senior Manager level.) Preferred Experience: Relevant industry experience in biopharmaceutical regulatory affairs (especially in regulatory intelligence, policy, or strategy functions) is highly desirable. The ideal candidate will have a track record of successfully managing regulatory information or contributing to regulatory submissions across multiple regions. Experience working on cross-functional teams and exposure to regulatory policy development or external advocacy would be a plus for this role. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement. Team Summary Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems, focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact projects with tangible financial results. VCA Managed Services (VMS) is a critical component of our VCA strategy, providing our clients with the execution muscle they require to deliver and implement strategic projects. VMS brings the ‘best of Visa’ to the clients, playing the role of orchestration layer between client teams and Visa subject matter experts (SMEs). As clients confront increased challenges in their operating environment whilst also facing capacity constraints and capability gaps, VMS helps to drive implementation or delivery of their strategic initiatives, facilitating significant and tangible value creation. What a PO Manager does at Visa: The PO Manager is responsible for working closely with clients to deliver portfolio optimization initiatives across the cardholder lifecycle. This could include supporting customer acquisition programs, reviewing customer journeys, driving behavior change through campaign communications, building sustainable engagement and more. As a natural collaborator, you will deliver this support by bringing the best of Visa through working with subject matter experts across consulting, product and client services teams. To succeed in this role, you will need to excel in product management, stakeholder management, and cross-functional collaboration. Qualifications A Degree in Business Management, Marketing, Economics, Finance, or related fields. A master’s degree would be an advantage. Minimum of 8-11 years of experience in a bank or fintech within the consumer credit card business delivering on growth initiatives Experience in managing communication campaigns and coordinating any required merchant partnerships and gathering internal approvals Demonstrated ability to analyze and synthesize client information, interviews, data, processes, policies, competitive and environmental information to determine gaps, issues and opportunities A good balance between strategic thinking and detailed, flawless execution with attention to detail Excellent communication, storytelling, and presentation skills Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.