52 Data Stewardship Jobs

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses. Your role Partner with HR business leaders to understand their unique challenges and objectives, offering tailored analytics solutions. Provide ongoing consultation, interpreting data findings in the context of organizational goals and industry benchmarks. Craft compelling narratives around data insights, translating technical findings into actionable business language. Develop and deliver insightful presentations to executive leadership, fostering a data-informed culture. Uphold the highest standards of data ethics, ensuring compliance with privacy regulations and promoting responsible data stewardship. Champion ethical considerations in the application of analytics to HR decision-making. Your Profile Advanced degree in HR, Statistics, Data Science, or a related field. Proven experience in a consulting or advisory role focused on HR analytics and workforce planning. Expertise in statistical analysis, predictive modeling, and data visualization tools. Strong business acumen with the ability to align analytics initiatives with organizational strategy. Exceptional communication and influencing skills. Experience Level 2+ experience in HR analytics roles, demonstrating a track record of driving impactful organizational change through data-driven insights What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of "22.5 billion.

About our team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotaks Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, sparksql, scala) for ETL development, Advanced SQL and Data modelling for Analytics. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be a early member in digital transformation journey of Kotak, learn and leverage technology to build complex data data platform solutions including, real time, micro batch, batch and analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotaks data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and built data models in a config based and programmatic and think big to build one of the most leveraged data model for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data build by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics usecases. Data Governance The team will be central data governance team for Kotak bank managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If youve right data skills and are ready for building data lake solutions from scratch for high concurrency systems involving multiple systems then this is the team for you. You day to day role will include Drive business decisions with technical input and lead the team. Design, implement, and support an data infrastructure from scratch. Manage AWS resources, including EC2, EMR, S3, Glue, Redshift, and MWAA. Extract, transform, and load data from various sources using SQL and AWS big data technologies. Explore and learn the latest AWS technologies to enhance capabilities and efficiency. Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis. Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Build data platforms, data pipelines, or data management and governance tools. BASIC QUALIFICATIONS for Data Engineer Bachelor's degree in Computer Science, Engineering, or a related field 3-5 years of experience in data engineering Strong understanding of AWS technologies, including S3, Redshift, Glue, and EMR Experience with data pipeline tools such as Airflow and Spark Experience with data modeling and data quality best practices Excellent problem-solving and analytical skills Strong communication and teamwork skills Experience in at least one modern scripting or programming language, such as Python, Java, or Scala Strong advanced SQL skills PREFERRED QUALIFICATIONS AWS cloud technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM, Airflow Prior experience in Indian Banking segment and/or Fintech is desired. Experience with Non-relational databases and data stores Building and operating highly available, distributed data processing systems for large datasets Professional software engineering and best practices for the full software development life cycle Designing, developing, and implementing different types of data warehousing layers Leading the design, implementation, and successful delivery of large-scale, critical, or complex data solutions Building scalable data infrastructure and understanding distributed systems concepts SQL, ETL, and data modelling Ensuring the accuracy and availability of data to customers Proficient in at least one scripting or programming language for handling large volume data processing Strong presentation and communications skills. For Managers, Customer centricity, obsession for customer Ability to manage stakeholders (product owners, business stakeholders, cross function teams) to coach agile ways of working. Ability to structure, organize teams, and streamline communication. Prior work experience to execute large scale Data Engineering projects

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned: Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service. Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes. Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements. Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements. Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed. Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements. Required Knowledge and Experience: At least 5 years of experience developing / structuring an enterprise-wide data governance organization and business process (operating models, roles, partner organizations, responsibilities). Hands-on with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions. Utilize strong business knowledge of the investment management industry and common data management operations. Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues. Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery.

Initial technical assistance, troubleshooting, documenting, managing, maintaining & supporting the MI. Hands-on exp in Data Steward interface, basic data validation & analysis Log and track issues. Troubleshoot and resolve common Power BI issues. Required Candidate profile Min. 1yr Exp in MI Power BI , Power Query, DAX, SQL, ETL, Dashboards, Agile Data Steward. Data Governance, Data visualization, Databases (SQL, Azure,) Strong Technical & troubleshooting knowledge.

Write specifications for Master Data Management builds Create requirements, including rules of survivorship, for migrating data to Markit EDM implementation of data governance Support testing Develop data quality reports for the data warehouse Required Candidate profile 5+ years of experience documenting data management requirements Experience writing technical specifications for MDM builds Familiarity with enterprise data warehouse Knowledge of data governance

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: • Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. • Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. • Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets • To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. • Be the point of contact for Data Governance queries, including escalation point for client concerns. • Coordinate the resolution of data integrity gaps by working with the business owners and IT. • Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

Exp- 4-7yrs Skillset- IDMC (preferably) or any other DG tool, SQL, ETL Location- Gurgaon (Preferred), Bangalore, Pune, NP- URGENT Work with Customers onshore team collaboratively to support following initiatives: Interface with business stakeholders, understand their data and analytics needs, establish requirement with technical stakeholders and align on delivery plan. Understand various data sources around asset classes, portfolio, historical performances, market trends etc. and Develop/enhance data documentation. Help deliver data-driven analysis and recommendations that effectively influence business decisions. Extract data, perform data cleansing / data quality checking tasks, prepare data quality reports, and model ready data. Candidate Profile: Over 4 years of experience in data analytics, governance, and business analysis Strong understanding of data analytics and ability to derive actionable insights Skilled in developing strategic project roadmaps and aligning data initiatives with business goals Proactive in proposing suggestions and providing regular project updates to stakeholders Hands-on experience with data governance frameworks; Collibra knowledge helpful but not mandatory. Strong comprehension of metadata strategies and real-world use cases Excellent communication skills and ability to work across business and technical teams Familiar with technology stack: SQL, Snowflake, Power BI Experience with IceDQ (a plus) Understanding of investment fundamentals is a valuable asset Detail-oriented, self-motivated, and adept at cross-functional collaboration

Global Data Steward Role We are looking for a highly skilled and experienced Global Data Steward to join our team at AXALTA COATING SYSTEMS INDIA PRIVATE LIMITED. The ideal candidate will have 6-8 years of experience in data stewardship. Roles and Responsibility Develop and implement effective data stewardship strategies to ensure data quality and integrity. Collaborate with cross-functional teams to identify and prioritize data requirements. Design and maintain scalable and secure data architectures to support business growth. Ensure compliance with regulatory requirements and industry standards. Provide expert guidance on data management best practices to stakeholders. Analyze and resolve complex data-related issues to improve operational efficiency. Job Requirements Strong understanding of data stewardship principles and practices. Experience with data governance frameworks and regulations. Proficiency in data modeling, warehousing, and analytics tools. Excellent communication and collaboration skills. Ability to work in a fast-paced environment with multiple priorities. Strong problem-solving skills with attention to detail.

Description We are seeking a Data Governance Specialist to join our team in India. The successful candidate will be responsible for developing and implementing data governance policies and ensuring compliance with data protection regulations. This role requires a strong understanding of data management principles and the ability to work collaboratively across departments. Responsibilities Develop and implement data governance policies and procedures Ensure compliance with data protection regulations and standards Collaborate with cross-functional teams to manage data quality and integrity Conduct data audits and assessments to identify gaps and areas for improvement Provide training and support to staff on data governance best practices Monitor and report on data governance metrics and performance indicators Skills and Qualifications 5-10 years of experience in data governance or related field Strong understanding of data management principles and practices Familiarity with data protection regulations (e.g., GDPR, CCPA) Experience with data quality tools and methodologies Proficient in data analysis and reporting tools (e.g., SQL, Excel) Excellent communication and interpersonal skills Ability to work independently and as part of a team Strong problem-solving skills and attention to detail

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, data quality, and data integration principles.

Write specifications for Master Data Management builds Create requirements, including rules of survivorship, for migrating data to Markit EDM implementation of data governance Support testing Develop data quality reports for the data warehouse Required Candidate profile 3+ years of experience documenting data management requirements Experience writing technical specifications for MDM builds Familiarity with enterprise data warehouse Knowledge of data governance

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Data Quality Lead by Domain Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Develop and implement data quality frameworks. Design and enforce standards for data quality and governance to ensure consistent, accurate, and reliable data. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. data quality best practices and tools for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains. Collaborate with stakeholders and work closely with data stewards, analysts, IT, and business units to understand data requirements and address quality concerns. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are being met. Lead data quality initiatives aimed at improving data quality, including data cleansing, enrichment, and validation processes. Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.). In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions. Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) 3-5 years of experience in data quality management, data governance, or related roles. Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance. Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains including GDPR, CCPA, and other relevant legislations. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) 3-5 years of experience in data privacy, compliance, or a related field. Soft Skills: Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information. Adaptability: Ability to adapt to changing regulations and emerging privacy challenges. Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues. Leadership: Strong leadership skills and the ability to influence and drive change within the organization. Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgens data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the General and Administrative operations (G&A) domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the General and Administrative operations (G&A) domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 Years of Experience

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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- Lead data governance initiatives within the organization- Develop and implement data governance policies and procedures- Ensure compliance with data governance standards and regulations Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Strong understanding of data governance principles- Experience in implementing data governance frameworks- Knowledge of data quality management- Familiarity with data privacy regulations Additional Information:- The candidate should have a minimum of 5 years of experience in Collibra Data Governance.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

MDM Associate Data Steward Overview: We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role includes managing and curating master data via robust stewardship processes, data cataloging, and governance frameworks using Informatica or Reltio MDM platforms. The position involves advanced data analysis, validation, and transformation through SQL queries and Python scripts, enabling informed, data-driven decisions. You will collaborate across Data Engineering, Commercial, Medical, Compliance, and IT teams to align data management practices with business goals and compliance standards. Roles & Responsibilities: Ensure data accuracy and integrity across key master data domains (Customer, Product, Affiliations). Perform data profiling, cataloging, and reconciliation using Informatica or Reltio MDM. Manage reconciliation of potential matches and resolve data discrepancies. Oversee Data Change Request (DCR) processes including review, approval, and documentation as per SLAs. Execute and optimize SQL queries for validation and analysis. Use Python for data transformation, quality checks, and automation. Collaborate with cross-functional teams to fulfill data requirements. Support UAT and system integration testing for MDM-related updates. Implement data governance processes aligned with enterprise standards. Maintain and update SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements for data stewardship and analytics. Conduct regular audits and monitoring to maintain high data quality. Basic Qualifications and Experience: Master's degree with 13 years of experience in Business, Engineering, IT, or related field OR Bachelor's degree with 25 years of experience in Business, Engineering, IT, or related field OR Diploma with 68 years of experience in Business, Engineering, IT, or related field Functional Skills: Must-Have Skills: Direct experience in data stewardship, data profiling, and MDM Hands-on experience with Informatica or Reltio MDM platforms Proficiency in SQL for data analysis and querying Familiarity with data cataloging techniques and tools Basic knowledge of Python scripting for data processing Good-to-Have Skills: Experience with PySpark and Databricks Background in pharmaceutical, healthcare, or life sciences Familiarity with AWS or other cloud platforms Exposure to Agile methodologies, tools like Jira and Confluence Understanding of data protection regulations (e.g., GDPR, CCPA) Professional Certifications: ETL Certification (e.g., Informatica) SQL/Data Analysis Certification Cloud Certification (e.g., AWS or Azure) Soft Skills: Strong analytical abilities to assess and improve MDM processes Excellent verbal and written communication Effective problem-solving skills Ability to work with global, virtual teams

- Perform operational activities for assigned elements of the regulatory information management process, XEVMPD, and the Global Product Registration List in accordance with quality control and quality improvement methodologies. - Act as a Data Steward for assigned regulatory data assets, maintaining and managing regulatory data as per the Enterprise Data Quality Framework. - Support the administration of regulatory data standards (XEVMPD, IDMP) and the processes used to govern the collection, coding, analysis, and quality control of regulatory information. - Compile and deliver XEVMPD or other regulatory information-based submissions to health authorities. - Develop expertise in critical topic areas such as technical skills (XEVMPD, IDMP), knowledge of international regulations, and other skills (communication, project management). - Support changes based on intelligence about the regulatory environment and changes related to regulatory information practices. Provide operational support for new or optimized business processes to match environmental changes. - Support continuous improvement initiatives. - Prepare business reports, analyses, or alerts in response to business needs or health authority requests. - Ensure collection and coding of regulatory information is done in compliance with regulatory and pharmacovigilance legislation, regulatory processes, and regulatory data standards. Review results of audits to ensure accuracy and compliance with regulations and procedures. Essential Skills/Experience: - University degree in the life sciences - Experience in pharmaceutical/medical industry - Strong analytical and critical thinking ability - Knowledge of pharmaceutical drug development process - Good understanding of current regulatory legislation, guidelines, and trends relating to regulatory information management (process, tools, standards) Desirable Skills/Experience: - Manages change with a positive approach to the challenges of change for self, team, and the business. Sees change as an opportunity to improve performance and add value to the business. - Excellent written and verbal communication skills, negotiation, collaboration, and interpersonal skills. - Good problem and conflict resolution skills. - Demonstrated ability to set and manage priorities, resources, performance targets, and project initiatives in a global and regional environment. - Ability to thrive in a rapid-paced environment.

Role Description: We are looking for a skilled MDM Testing Associate Analyst who will responsible for ensuring the quality and integrity of Master Data Management (MDM) applications through rigorous testing processes. This role involves collaborating with cross-functional teams to define testing objectives, scope, and deliverables, and to ensure that master data is accurate, consistent, and reliable. and comply with Amgens standard operating procedures, policies, and guidelines. Your expertise will be instrumental in ensuring quality and adherence to required standards so that the engineering teams can build and deploy products that are compliant. Roles & Responsibilities: Test Planning: Develop and implement comprehensive testing strategies for MDM applications, including defining test objectives, scope, and deliverables. This includes creating detailed test plans, test cases, and test scripts. Test Execution: Execute test cases, report defects, and ensure that all issues are resolved before deployment. This involves performing functional, integration, regression, and performance testing. Data Analysis: Analyze data to identify trends, patterns, and insights that can be used to improve business processes and decision-making. This includes validating data accuracy, completeness, and consistency. Collaboration: Work closely with the MDM, RefData and DQDG team and other departments to ensure that the organizations data needs are met. This includes coordinating with data stewards, data architects, and business analysts. Documentation: Maintain detailed documentation of test cases, test results, and any issues encountered during testing. This includes creating test summary reports and defect logs. Quality Assurance: Develop and implement data quality metrics to ensure the accuracy and consistency of master data. This includes conducting regular data audits and implementing data cleansing processes. Compliance: Ensure that all master data is compliant with data privacy and protection regulations. This includes adhering to industry standards and best practices for data management. Training and Support: Provide training and support to end-users to ensure proper use of MDM systems. This includes creating user manuals and conducting training sessions Stay current on new technologies, validation trends, and industry best practices to improve validation efficiencies. Collaborate and communicate effectively with the product teams. Basic Qualifications and Experience: Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 2+ years of experience in MDM implementations, primarily with testing (pharmaceutical, biotech, medical devices, etc.) Extensive experience on ETL/ELT and MDM testing (Creating test plan, test scripts and execution of test scripts and bugs tracking/reporting in JIRA) Informatica MDM: Proficiency in Informatica MDM Hub console, configuration, IDD (Informatica Data Director), IDQ, and data modeling or Reltio MDM: Experience with Reltio components, including data modeling, integration, validation, cleansing, and unification. Advanced SQL: Ability to write and optimize complex SQL queries, including subqueries, joins, and window functions. Data Manipulation: Skills in data transformation techniques like pivoting and unpivoting. Stored Procedures and Triggers: Proficiency in creating and managing stored procedures and triggers for automation. Python: Strong skills in using Python for data analysis, including libraries like Pandas and NumPy etc. Automation: Experience in automating tasks using Python scripts. Machine Learning: Basic understanding of machine learning concepts and libraries like scikit-learn. Strong problem-solving and analytical skills Excellent communication and teamwork skills Good-to-Have Skills: ETL Processes: Knowledge of ETL processes for extracting, transforming, and loading data from various sources. Data Quality Management: Skills in data profiling and cleansing using tools like Informatica. Data Governance: Understanding of data governance frameworks and implementation. Data Stewardship: Ability to work with data stewards to enforce data policies and standards. Selenium: Experience with Selenium for automated testing of web applications. JIRA: Familiarity with JIRA for issue tracking and test case management. Postman: Skills in using Postman for API testing. Understanding of compliance and regulatory considerations in master data. In depth knowledge of GDPR and HIPPA guidelines. Professional Certifications : MDM certification (Informatica or Reltio) SQL Certified Agile or SAFe certified Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role involves actively managing and curating master data through robust data stewardship processes, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards. Roles & Responsibilities Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations). Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries. Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs. Execute and optimize SQL queries for validation and analysis of master data. Perform basic Python for data transformation, quality checks, and automation. Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements. Support user acceptance testing (UAT) and system integration tests for MDM related system updates. Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks. Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements to enhance data stewardship and analytic capabilities. Perform regular audits and monitoring to maintain high data quality and integrity. Basic Qualifications and Experience Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related fieldOR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related fieldOR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Direct experience in data stewardship, data profiling, and master data management. Hands-on experience with Informatica or Reltio MDM platforms. Proficiency in SQL for data analysis and querying. Knowledge of data cataloging techniques and tools. Basic proficiency in Python scripting for data processing. Good-to-Have Skills: Experience with PySpark and Databricks for large-scale data processing. Background in the pharmaceutical, healthcare, or life sciences industries. Familiarity with AWS or other cloud-based data solutions. Strong project management and agile workflow familiarity (e.g., using Jira, Confluence). Understanding of regulatory compliance related to data protection (GDPR, CCPA). Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Define, implement, & enforce data governance policies & standards to ensure data quality, consistency, & compliance across the organization Collaborate with data stewards, business users, & IT teams to maintain metadata, lineage, & data catalog tools

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations. Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Experience with 5 - 9 years of experience in Business, Engineering, IT or related field

Job Title: SAP DATA STEWARD (CONTRACT) Location: HYDERABAD, INDIA As the SAP Data Steward is responsible for creating, maintaining, and deactivating master data and data attributes in SAP with focus on data migration. The Data Stewards has an essential role in establishing in monitoring existing and new data against and ensuring timely and high-quality creation of new data in the system. Bachelors Degree or Associates degree with additional 9+ years of work experience required or an equivalent combination of education and experience. Requires SAP functional knowledge on SAP Routings with Migration Perspective. Should have complete knowledge on SAP Routings tables. Need to have basic knowledge on linking between the tables and joins needed for getting the extract template ready as per Client's Format. Excellent attention to detail, exceptional interest in creating order and consistency required. 10+ years of experience in data management and/or data governance activities and responsibilities. Experience working with SAP ECC required. Demonstrated expert-level experience and capability with MS Excel required. High degree of initiative and ownership, as well as a proven history of delivering results while working with several different departments in a fast-paced environment required. Experience creating and running business reports and data queries is preferred. Confident user of Microsoft Office (Word, Excel, Outlook, PowerPoint, Teams). Experience working with teams across multiple functions. Ability to multi-task and work under tight timelines required. Excellent communication skills both verbal and written.

Extensive SAP MM Module design, Material Master Data Management/Maintenance Process and MM data model (S/4HANA) (including material master, classification, document management system n-depth experience with SAP ECC and ideally with S/4HANA and MDG Required Candidate profile Experience with data modelling, definition of data standards, data integration, data cleansing, data configuration and data analysis Exp in defining, implementing and maintain master data governance