3681 Data Quality Jobs - Page 22

Job Description Are You Ready to Make It Happen at Mondel z International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs How you will contribute You will: Operationalize and automate activities for efficiency and timely production of data visuals Assist in providing accessibility, retrievability, security and protection of data in an ethical manner Search for ways to get new data sources and assess their accuracy Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation Validate information from multiple sources. Assess issues that might prevent the organization from making maximum use of its information assets What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data Ability to simplify complex problems and communicate to a broad audience In This Role As a Senior Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI (Optional), Tableau (Optional), Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Azure Cloud Services: Azure Datalake Gen2, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyze data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Job Type Regular Data Science Analytics & Data Science

Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI). Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience in mentoring and supporting junior data scientists or engineers. Experience working in a multi-cultural and multi-location organization - an advantage. Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills. Subsidiary PayPal Travel Percent 20 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification Experience in risk management (Sanctions, AML, Fraud, Credit, Compliance, CIP/KYC etc.) Experience in payments industry Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required. Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI). Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience in mentoring and supporting junior data scientists or engineers. Experience working in a multi-cultural and multi-location organization - an advantage. Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills. Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member s contributions and offers a supportive environment for career development. Come, stay, and grow with us. Job Description In this role, you will be responsible to perform day-to-day operations while maintaining SLA. Solving queries related to Customer, Vendor, or Material domains. This role will be reporting to the manager of MDA. The resource will be working with a cross functional team and will maintain, analyse, execute requests with utmost quality with eye for details with good experience in SAP MDM- customer, vendor, or material master. We are looking for some who should be open to work in any shift as per the business requirement. This role will work closely with the Vendor Maintenance team member in LITC as well as with team members in Richardson TX. Ideally, this role is best filled by an independent thinker that can look at the big picture and ask questions for clarification or make suggestions on how to improve the processes. Follow defined standard operating processes and procedures for all deliverables (processes) Take ownership of performance against the Vendor Master data processes and key categories Accountable for the quality and accuracy Plan and priorities the workload to ensure that all assignments are delivered accurately to meet specified timelines. Ensure timely and accurate update of all Vendor master data records. Responsible for delivering all the tasks on-time, every-time. Be responsible for maintaining the SLA of each period and the delivery performance. Ensure that all the reports are maintained and cleared on time. Maintain Vendor master data in SAP as per business input and SOP. Basis understanding of SAP MM module ( P2P cycle ) commercial structures and Category/Product Hierarchies Participate in idea generation and improvement activities. Ensure all Data Quality KPIs (Key Performance Indicators) are met. Identifies areas for data quality and process improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies. Qualifications Any Graduate / bachelor s degree. 2 to 4 years of experience in Master data management Analytical skills and attention to detail Excellent communication (verbal and written). Understanding of SAP ERP or relevant experience Intermediate knowledge in MS office tools Working knowledge of SharePoint and TEAMS Passion for quality data. Asks the question why.

Senior Clinical Data Science Programmer- Office based- Bangalore/ Chennai/ Trivandrum We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise. What You Will Be Doing: Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials. Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process. Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports. Providing guidance on programming best practices, coding standards, and data quality control measures. Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies. Your Profile: Advanced degree in a relevant field such as computer science, statistics, or life sciences. Extensive experience in programming for clinical trials, with proficiency in languages such as Rave+ Custom Function/ SAS, R, or Python. Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment. Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results. Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here . Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless there s every chance you re exactly what we re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP ABAP Cloud Good to have skills : SAP HCM Personnel AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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- Develop and maintain data pipelines- Ensure data quality and integrity- Implement ETL processes Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP- Strong understanding of data management principles- Experience with SAP HCM Organizational Management- Knowledge of data modeling and database design- Proficient in SQL and database querying- Hands-on experience with data integration tools Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP- This position is based at our Coimbatore office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : SAP ABAP Cloud Good to have skills : SAP Data Services DevelopmentMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Organization marketplace reputation. Bring emerging ideas to life by shaping Organization and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. 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 the team in implementing SAP HCM On Premise ABAP solutions- Provide technical guidance and support to team members- Participate in client meetings to understand requirements and provide technical insights Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP- Strong understanding of SAP Data Migration- Experience in ABAP development for SAP HCM modules- Knowledge of SAP HR processes and configurations- Ability to troubleshoot and resolve technical issues in SAP HCM modules Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : SAP ABAP Cloud Good to have skills : SAP Data Services DevelopmentMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Organization marketplace reputation. Bring emerging ideas to life by shaping Organization and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. 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 technical discussions with clients- Develop and implement technical solutions- Provide guidance and mentorship to junior team members Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP- Good To Have Skills: Experience with SAP Data Migration- Strong understanding of SAP HCM On Premise ABAP- Experience in SAP ABAP development and customization- Knowledge of SAP HCM modules and integration with other SAP modules Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP HCM On Premise ABAP- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : SAP ABAP Cloud Good to have skills : SAP Data Services DevelopmentMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Organization marketplace reputation. Bring emerging ideas to life by shaping Organization and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. 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- Expected to provide solutions to problems that apply across multiple teams- Lead the team in implementing SAP HCM On Premise ABAP solutions- Provide technical guidance and expertise to team members- Collaborate with stakeholders to understand business requirements and translate them into technical solutions Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP- Strong understanding of SAP Data Migration- Experience in ABAP development for SAP HCM modules- Knowledge of SAP HR processes and configurations- Ability to troubleshoot and resolve technical issues in SAP HCM modules Additional Information:- The candidate should have a minimum of 12 years of experience in SAP HCM On Premise ABAP- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Model and design the application data structure, storage, and integration. Be involved in creating innovative data solutions and collaborating with cross-functional teams to drive data architecture decisions. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead data architecture discussions and decisions within the organization.- Develop and maintain data models, data dictionaries, and data standards.- Collaborate with stakeholders to understand data requirements and ensure data solutions meet business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling and database design.- Experience in data integration and data management.- Knowledge of data governance and data quality best practices.- Hands-on experience with data architecture tools and technologies. Additional Information:- The candidate should have a minimum of 15 years of experience in Data Architecture Principles.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP ABAP Development- This position is based in Coimbatore- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Data Services Development Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. Your role will be pivotal in driving innovation and efficiency within the application development lifecycle, fostering a collaborative environment that encourages team growth and success. 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 training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Data Migration.- Strong understanding of data integration processes and methodologies.- Experience with data validation and quality assurance techniques.- Familiarity with SAP modules and their data structures.- Ability to troubleshoot and resolve data migration issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in SAP Data Migration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role The Data Architecture Specialist Join our team of data architects who design and execute industry-relevant reinventions that allow organizations to realize exceptional business value from technology . Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data Architecture | Level:Sr Manager | Location: Bangalore/Mumbai/Pune/Gurugram | Years of Exp: 15 to 21 years Explore an Exciting Career at Accenture Are you a problem solver and passionate about Tech-driven transformationDo you want to design, build and implement strategies to enhance business architecture performanceAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory team helps clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing Technology Strategy and Advisory team, you will work closely with our clients to unlock the value of data, architecture, and AI to drive business agility and transformation to a real-time enterprise. As a leading Data Architecture Consulting professional, you will work on the following areas: Business Problem Data Analysis :Identifying, assessing, and solving complex business problems using in-depth evaluation of variable factors. Technology-driven journey intersection :Helping clients design, architect and scale their journey to new technology-driven growth. Architecture Transformation :Helping solve key business problems by enabling an architecture transformation, from the current state to a to-be enterprise environment. High Performance Growth and Innovation :Assisting our clients to build the required capabilities for growth and innovation to sustain high performance. Bring your best skills forward to excel at the role: Present data strate gy and develop technology solutions and value adding propositions to drive C-suite/senior leadership level discussions Capitalize on in-depth understanding of the latest technologies such as big data, data integration, data governance, data quality, cloud platforms, data modelling tools, data warehouse and hosting environments. Lead proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Maximize subject matter expertise on data-led projects and play a key role in pitches where data-based RFP responses are discussed Demonstrate ability to work creatively and analytically in a problem-solving environment. Use knowledge of key value drivers of a business , how they impact the scope and approach of the engagement. Develop client handling skills to develop, manage and deepen relationships with key stakeholders Leverage team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Build on leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Qualification Your experience counts! MBA from a tier 1 institute Your prior experience in one or more of the following is important Assessment of Information Strategy Maturity and evaluation of new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Defining data-based strategy and establishing to-be Information Architecture landscape Design of cutting-edge solutions using cloud platforms like AWS, Azure, GCP, etc. and conceptualization of Data models Establish framework for effective Data Governance and define data ownership, standards, policies, and associated processes Product/ Framework/ Tools evaluation: Collaborating with business experts for business understanding, work with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Evaluate existing products and frameworks and develop options for proposed solutions. Practical industry expertise :The areas of Financial Services, Retail, Telecommunications, Life Sciences, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP ABAP Cloud Good to have skills : SAP HCM Personnel AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. 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.- Develop and maintain data pipelines.- Ensure data quality and integrity.- Implement ETL processes for data migration and deployment. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP.- Good To Have Skills: Experience with SAP HCM Organizational Management.- Strong understanding of data management principles.- Experience in designing and implementing data solutions.- Proficient in ETL processes and data migration techniques. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating solutions that align with business needs and ensuring seamless application functionality. 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 the team in implementing innovative solutions- Conduct regular team meetings to ensure project progress- Stay updated on industry trends and technologies Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio- Strong understanding of ETL processes- Experience with data integration and data warehousing- Knowledge of data quality and data governance best practices- Hands-on experience in developing and implementing data pipelines Additional Information:- The candidate should have a minimum of 5 years of experience in Ab Initio- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP HCM On Premise ABAP Good to have skills : SAP HCM Organizational ManagementMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and analyzing data to support business decisions and drive data-driven insights. 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.- Design, develop, and maintain data solutions for data generation, collection, and processing.- Create data pipelines to extract, transform, and load data across systems.- Ensure data quality and integrity throughout the data lifecycle.- Implement ETL processes to migrate and deploy data across systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HCM On Premise ABAP.- Good To Have Skills: Experience with SAP HCM Organizational Management.- Strong understanding of data engineering principles and best practices.- Experience with data modeling and database design.- Hands-on experience with ETL tools and processes.- Proficient in programming languages such as ABAP, SQL, and Python. Additional Information:- The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP.- A 15 years full-time education is required. Qualification 15 years full time education

Salesforce System Admin Associate - Vera Solutions Salesforce System Admin Associate Location: S o Paulo Salary: R$12,716 per month Check out our values-driven benefits below! Join our innovative, global team using technology to transform the way the social sector engages with data. We run on passion, blending diverse skill sets and experiences with a collective mission to help organizations tackle challenges and achieve greater impact. We encourage all staff to push their own boundaries and drive the company in exciting new directions. As a social enterprise and certified B Corporation, we reinvest a majority of our profits in our growth and continued pursuit of our mission and vision. Position Overview The Salesforce System Admin Associate will be part of Vera s growing Systems team. The Admin Associate will be an active contributor to the design, development, and implementation of new features in Vera s internal Salesforce implementation and work with managed package products. The Admin Associate should bring a desire to learn new technologies and processes and an eagerness to develop new skills and serve internal stakeholders. The Admin Associate should have a strong work ethic, be driven to think for themselves, work independently, and balance multiple tasks. The Admin Associate will join a team of passionate individuals with diverse backgrounds and experiences, all dedicated to improving the way social impact organizations operate. We re a self-motivated, creative group, and we emphasize collaboration, flexibility, and professionalism. Primary Responsibilities: Manage Vera s internal Salesforce system and other tools and make improvements and updates as necessary to maintain a highly effective system and seamless user experience. Participate in the planning and analysis of business requirements for system changes and enhancements. Manage Salesforce custom apps and packages. Write and deliver training material or other Salesforce system support documentation. Provide technical support to end users while acting as a service analyst, by investigating and troubleshooting issues and applying solutions. Perform User Management on internal tools such as Salesforce, Google Suite, Slack etc. Creation and maintenance of roles, profiles, hierarchies. Develop custom solutions on Salesforce platform using declarative automation. Participate in creating and implementing QA Testing and Test suites by performing different types of testing. Collaborate with the team for release management tasks such as Sandbox creation, deployment tasks etc. Manage and improve data quality, system integrity, and security by performing regular audits and clean up tasks. Clearly communicate technical changes and recommendations to users on a regular basis. Perform Data Migration tasks within different systems using ETL tools. Qualifications and Experience Essential Minimum Bachelor s Degree in Engineering /IT/ Computer Science Degree. 2+ years of Salesforce experience. Skills Required Technical expertise: Possesses knowledge of Salesforce administration, data management, custom development and reporting. Issue resolution: Troubleshoots system issues, identifies root causes, and implements solutions to maintain smooth operations. Collaboration: Works closely with internal teams like development and implementation to ensure stakeholder needs are met effectively. Desirable Interest in social service work or international development. Relevant Salesforce certifications Salesforce Administrator Platform App Builder Salesforce Certified Associate Salesforce Business Analyst Vera Solutions offers competitive compensation (including benefits), commensurate with experience and cost of living. Employee Incentive Plan All employees participate in our Employee Incentive Plan. Employees receive stock options, aligned to their job title and location, as part of their total compensation package. To showcase our commitment to employee growth and well-being, Vera offers a paid sabbatical to employees who complete three consecutive years. We do not cap sick leave. If you re sick, we hope you get better! Paid Time Off 48 days of paid leave each year, including local and company-wide holidays and a December break. Vera is passionate about supporting the health of you and your family. We cover medical insurance premiums, including family coverage, up to a maximum amount. Complete an online application by clicking apply below. Vera Solutions is committed to fostering a diverse and inclusive environment and encourages applicants from underrepresented backgrounds to apply. What makes Vera such a great place to work? In everything we do, we re guided by our core values: Excellence, Sustainability, Teamwork, Leadership, and Impact Our Mission As a certified B Corporation, we meet the highest social and environmental standards in pursuit of our mission. Our Global Team Our wonderfully diverse team spans 5 continents and speaks more than 15 different languages. We are invested in and committed to making training, learning, and development one of Vera s signature strengths. Diversity & Inclusion We value our culture of diversity and inclusion in the workplace. We bring our full selves to work and position each other to thrive. Rising Leaders Program We run an annual leadership development initiative for emerging leaders at Vera.

SUMMARY We are seeking a field-oriented Block Coordinator to join our team. This role offers an opportunity to contribute to a high-impact evaluation study focused on improving developmental outcomes in rural regions. As a Block Coordinator, you will be responsible for monitoring and supervising field activities across three blocks in Nandurbar district. You will work closely with field staff, ensure smooth implementation of data collection processes, and coordinate with local stakeholders. This role demands strong organizational skills, attention to detail, and the ability to manage field operations effectively in a dynamic environment. Location - Nandurbar District, Maharashtra ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, UNICEF and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https: / / www.wadhwaniai.org / culture / ROLES AND RESPONSIBILITIES Liaise with block-level officials to obtain necessary approvals and ensure smooth execution of data collection activities. Support the selection of study sites through field-based situational analysis. Conduct monthly supervision visits Anganwadi Centers (AWCs) across the blocks Maintain strict adherence to data confidentiality and privacy protocols. Be willing to travel extensively within the district as required. Document field insights, and share regular reports. Ensure data quality, ethical standards, and timely submission of field updates. Plan field schedules efficiently to maximize AWC coverage. Handle local logistics including scheduling interviews and managing field travel. Undertake additional responsibilities as assigned by the supervisor from time to time. REQUIREMENTS Education: Bachelors in Statistic, economics, epidemiology, development studies Relevant data collection experience of at least 5 years is preferred Skilled in collecting quantitative and qualitative data Should have strong contextual understanding and familiarity with local community Strong communication in marathi and hindi languages is mandatory Ability to work independently, travel extensively, and manage time well. Proficient computer skills in including Word, and Excel We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability.

We are excited to invite applicants to join a diverse team from different regions sitting in Third-Party Management Claims team. We offer a flexible working environment where curious and adaptable people thrive. We are flexible on the location of the right candidate. About the Role As a direct report to the Head Third Party Management, you will closely collaborate primarily with Corporate Solutions Claims and Property & Casualty Reinsurance (P&C Re) and Global Clients & Solutions (GC&S) teams focusing on claims service providers. The aim of the role is to drive an efficient and effective claims external service providers management program, collaborating with the Groups global claims departments, that deliver differentiated services and propositions in clearly defined customer segments. Leadership of Third Party Management Claims Pillar Responsible for Swiss Re Group wide Claims Vendor Strategy, working closely with Claims Leadership across all business divisions In conjunction with Compliance and Risk, develop the TPM Claims vendor risk framework In conjunction with Legal, develop and implement the Global Contracting Strategy for all key claims vendor types Responsibility for Group Claims ebilling strategy, including the ownership and ongoing management of ebilling providers Negotiate contracts, terms & conditions and rates for panel vendors as determined by CLE contracting strategy Drive data quality improvement initiative as well as reporting metrics in place to better steer VM spend portfolio Provide ad-hoc support to Claims in relation to non-panel preferred vendors Build and maintain relationship with strategic vendors Work closely with Third Party Management on implementation of Delegated Authority vendors About the Team The Third Party Management Claims leverages value and buying power across Swiss Re Group, by supporting business units with the onboarding of claims outside counsel (legal firms and other claims service providers). The team works with its peer team Third Party Management to ensure Outsourcing arrangements for External Claims Service Providers are appropriately governed (identified, triaged, assessed, including appropriate due diligence, contract wordings and ongoing support with governance and oversight). The Third Party Management Claims team is part of the Global Business Solutions (GBS) division, focusing on a strong partnership with Business Units and Group Functions. About You We are seeking a self-aware strong communicator, able to challenge current structure and processes. An ideal candidate can establish trust through open, clear communication and empower others through effective knowledge sharing. Minimum 5 years Claims Vendor Management experience required Minimum 3 years within insurance industry, familiar with risk and compliance topics (nice to have) Solid knowledge of international claims vendor requirements and regulations Strong social skills, including excellent command of English Nice to have: Leadership and people management experience University degree or equivalent preferred, but not required with targeted work experience MCIPS qualifications desired If you are a committed collaborative colleague willing to help, we will be happy to get to know you! About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134600

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow Governance, Risk, and Compliance (GRC) Good to have skills : ServiceNow IT Service ManagementMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for ensuring the successful delivery of projects and collaborating with cross-functional teams to achieve project goals. Your creativity and expertise will contribute to the development of innovative solutions and drive the success of our applications. 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 the effort to design, build, and configure applications.- Act as the primary point of contact for project-related activities.- Ensure the successful delivery of projects.- Collaborate with cross-functional teams to achieve project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow Governance, Risk, and Compliance (GRC).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in ServiceNow Governance, Risk, and Compliance (GRC).- This position is based in Mumbai with location flex for cross location resource.- A 15 years full-time education is required. Qualification 15 years full time education

The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified

Client Clearing Group manages Collateral for all its clients that clear trades through centralized clearing houses. The group generates/sends margin calls to its clients on behalf of clearing houses in which they hold account. The group is responsible for ensuring that BNP is covered in terms of Credit Risk by issuing Intraday Calls as per notification from clearing houses and Prefunding client accounts as per market fluctuation. The group also reconciles Start of day balances with clearing house and accordingly transfers funds to ensure that there is no impact on clients trading activities throughout the day. Apart from call and bond bookings the group also looks after Start of Day activities which involves sending Margin Summary Notices to clients. The process requires individually monitoring and resolving breaks that occur on each component of Margin Summary Notice and ensuring that Margin Call notices generated are in line with balances published by all the clearing houses that we deal with. This is an extremely time sensitive activity and requires liaising with IT Support, Data Storage, Legal, Middle Office and Clearing Houses. Responsibilities Direct Responsibilities Performing Data Quality analysis, Monitoring batches that generate cash flows, interest, bond prices, and other components of a Margin Call. Taking ownership to Investigate on disputed calls and liaising with client, MO and legal on various aspects of disputed margin calls. Review and resolved failed/missed client payments. Review and resolve all bond fails by liaising with client, RM and Settlement Team. Being a first point of contact for escalations. Ensure interest is booked within a month and that there are no instances of carry forward interest. Investigating on Interest discrepancies. Representing Operations on IT Development calls. Smooth transition of BAU during IT enhancements and IT releases. Building operational solutions on new market requirements. Contributing Responsibilities Contributing on Automation calls and Meetings by actively participating. Testing new functionalities. Come up with tactical solutions to ensure calls are issued on time. Review and understand Business Documents raised for automations. Generate monthly client KPIs and publish it to stakeholders. Participate in stakeholder calls and present team performance. Identify open risk items in the process and look for solutions to overcome those. Create and maintain training plans for New Joiners. Technical & Behavioral Competencies Strong Communication skills required for an effective liaison with counterparties and internal stakeholders (Middle offices, marketers, traders, Risk, Clearing Houses, compliance and legal) Knowledge of derivative products (Credit, Interest Rate, FX, Equities) and Trade life cycle. Experience in clearing processes is favorable. Basic Excel skills required. Advanced Presentation skills required Basic Power Bi skills Specific Qualifications (if required) Skills Referential Behavioural Skills : (Please select up to 4 skills) Attention to detail / rigor Organizational skills Personal Impact / Ability to influence Critical thinking Transversal Skills: Ability to manage a project Analytical Ability Ability to develop and leverage networks Ability to develop others & improve their skills Ability to inspire others & generate people's commitment Education Level: Bachelor Degree or equivalent Experience Level At least 7 years

This position will report to Data/Process Governance Manager. The candidate will contribute to various Data/Process Governance initiatives. This will involve interactions with stakeholders across the designations. The candidate will also play a pivotal role in facilitating Committee and other Data Governance Working Group meetings. Testing periodic Controls of the team. The candidate will also be involved in various Data/Process Governance initiatives such as creating/ amending various documents i.e., Policies, Standards and Procedures etc. The role demands excellent communication skills to communicate and deliver cross border requirements. Responsibilities Direct Responsibilities The candidate shall work closely with Data/Process Governance and Data Management teams. Should have good hands-on knowledge of MS PowerPoint to support preparing deck/presentations for various data governance committee meetings and working groups. Prepare minutes of the meeting and circulate them. Coordinate various Data/Process Governance related initiatives with data stewards and other stakeholders. Independently Manage interactions/requirements coming from Onshore Data Governance Manager and others Leads in the Data Office team. Perform periodic governance controls testing activities. Create/amend various documents Policies, Standards and Procedures. This requires excellent interpretation skill to understand complex documents. The candidate shall support policy administration, documents renewal process, other admin activities related to Data Management and data analysis etc. Contributing Responsibilities Own/Contribute/Conclude to any ad-hoc projects. Technical Behavioral Competencies Good organizational and interpersonal skills. Attention to detail and the ability to work with a distributed multinational and multicultural team. Display a sense of curiosity, enthusiasm, and eagerness to understand business constraints, environment, and impact on regulation for the financial industry. Initiative, autonomy, self-motivated, self-starter. Extremely well organized and able to ensure adherence to a strict process. Flexible in a dynamic and evolving environment. Develops open, considerate, and effective relationships with stakeholders. Ability to work under pressure and creatively address various topics in-hand. Specific Qualifications (if required) Bachelor Degree 5+ years of work experience in Process Governance / Data Governance / Data Management /Internal Audits. Proficient in MS Office (Word/Excel/PowerPoint) Excellent communication skills, verbal and written. MBA can also apply. Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Ability to deliver / Results driven Ability to share / pass on knowledge Communication skills - oral written Transversal Skills: Ability to understand, explain and support change Analytical Ability Ability to manage / facilitate a meeting, seminar, committee, training Ability to develop and adapt a process Education Level: Bachelor Degree or equivalent

The purpose of this position is to conduct data risk assessment, find issues in the data used for US Federal Reserve regulatory reporting, set up detective rules to catch hold of exceptions. set up controls in close coordination with business stakeholders. The person joining will assist business and regulatory reporting teams to raise issues that affects them, conduct root cause analysis and take them to effective resolution owners to get them closed. The position also helps in identifying areas of continuous improvement and improve them thus achieving higher efficiency. Support audit queries from time to time from audit teams. Direct Responsibilities; Data Risk Assessment Conduct data risk assessment on data that is used, linked and moves across hobs and the risks faced. Data Analysis Analyze large volumes of data related to investment banking domains i.e. capital markets, corporate banking, liquidity, credit risk, market risk, client referential and securities referential and identify issues in them via data quality checks, conduct quality checks on a periodical basis as required and present results to stakeholder for corrective action and take them to closure. Prepare functional reports and assist in automating the process using tools as required. Undertake deep dive of issues affecting the business and come up with the remediation actions. Understand how the data moves across the bank and set up data control checks based on risks. Assess the exceptions generated and share the same with Data Stewards. Understand either of the US FED reports FFIEC002, FRY-15. FFIEC-009 and understand how they are filed from an accounting basis. Understand the gaps in coverage and check for setting up of control checks. Write medium to complex SQL queries to extract data from database for data analysis. Be able to connect the dots. Explain the functional gaps to techno functional team so that they can incorporate those checks in their systems. Develop test cases aimed at validating development for a given functional requirement and record them in the official test management platform. Have a continuous improvement mindset. Data Controls Maintain an overview and inventory of controls. Conduct a review of the controls in a periodic manner with Data Stewards and business, APS and IT stakeholders. Conduct a certification assessment of the controls on a quarterly cycle. Prefiling Analysis Conduct a prefiling analysis to understand whether the transactions are clubbed properly and reported in the correct MDRM in specific Fed reports. Issue Management and Remediation Keep a list of the issues, help conduct root cause analysis. Conduct root cause analysis on the issues identified and communicated in close collaboration with data stakeholders. Project Work Work on creating requirements for automating processes. Test the solution as per requirement. Audit Support Help support audit requirements and responses under stringent timelines. Contributing Responsibilities; - Partner with data domain owners to develop new functional logics in existing SQL queries; which will enhance and support the goal of quality data being used for reporting purposes. - Produce and distribute daily/weekly team Status reports and contribute to project status reporting depending on the undertaking at hand - Understand the competitive landscape and adopt technology based solutions to drive efficiency - Create SOPs, perform knowledge transfer and cross training for proper backup in team Technical Behavioral Competencies Able to write moderate level SQL queries in Oracle without any assistance. - Understanding of various data models for extraction of required data sets to be consumed for Root cause analysis. - Experience in one or many of these data quality tools and reporting tools/applications; Power BI, Collibra - Proficient in MS Office applications; MS Excel, MS Word, MS Powerpoint. Specific Qualifications (if required) M.Com/CA/ CFA along with 7 years of experience with all shown below:- - Data quality area - Data Controls attestation expertise - Should have supported US FED reports - Ability to perform root cause analysis - Business Analyst working in a financial institution and has completed multiple SDLC lifecycle. Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Attention to detail / rigor Ability to deliver / Results driven Active listening Transversal Skills: Ability to develop and adapt a process Ability to understand, explain and support change Analytical Ability Ability to set up relevant performance indicators Ability to develop and leverage networks Education Level: Master Degree or equivalent