54 Data Stewardship Jobs - Page 2

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

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

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 whats 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. 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.

We are hiring for a leading Insurance Consulting organisation for Data Strategy & Governance role Exp: 4 to 6 yyrs Location : BangalorePune Responsibility: Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients Managing Critical Data Elements (CDEs) and coordinating with Finance Data Stewards Overseeing data quality standards and governance implementation Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards

Dear Candidate, We are looking for a Data Governance Specialist to establish and maintain data governance policies, ensuring data quality, compliance, and responsible usage across the organization. Key Responsibilities: Define and enforce data governance policies and standards. Work with data owners and stewards to improve data quality. Monitor compliance with data privacy regulations (GDPR, HIPAA, etc.). Support metadata management, data lineage, and cataloging initiatives. Promote data literacy across departments. Required Skills & Qualifications: Experience with data governance tools (Collibra, Alation, Informatica). Knowledge of regulatory frameworks and data privacy laws. Strong analytical and documentation skills. Understanding of data architecture, MDM, and data stewardship. Excellent stakeholder management and communication skills. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Overview We are seeking an experienced and strategic leader to join our Business Intelligence & Reporting organization as Deputy Director BI Governance. This role will lead the design, implementation, and ongoing management of BI governance frameworks across sectors and capability centres. The ideal candidate will bring deep expertise in BI governance, data stewardship, demand management, and stakeholder engagement to ensure a standardized, scalable, and value-driven BI ecosystem across the enterprise. Responsibilities Key Responsibilities Governance Leadership Define and implement the enterprise BI governance strategy, policies, and operating model. Drive consistent governance processes across sectors and global capability centers. Set standards for BI solution lifecycle, metadata management, report rationalization, and data access controls. Stakeholder Management Serve as a trusted partner to sector business leaders, IT, data stewards, and COEs to ensure alignment with business priorities. Lead governance councils, working groups, and decision forums to drive adoption and compliance. Policy and Compliance Establish and enforce policies related to report publishing rights, tool usage, naming conventions, and version control. Implement approval and exception processes for BI development outside the COE. Demand and Intake Governance Lead the governance of BI demand intake and prioritization processes. Ensure transparency and traceability of BI requests and outcomes across business units. Metrics and Continuous Improvement Define KPIs and dashboards to monitor BI governance maturity and compliance. Identify areas for process optimization and lead continuous improvement efforts. Qualifications Experience12+ years in Business Intelligence, Data Governance, or related roles, with at least 4+ years in a leadership capacity. Domain ExpertiseStrong understanding of BI platforms (Power BI, Tableau, etc.), data management practices, and governance frameworks Strategic MindsetProven ability to drive change, influence at senior levels, and align governance initiatives with enterprise goals. Operational ExcellenceExperience managing cross-functional governance processes and balancing centralized control with local flexibility. EducationBachelor's degree required; MBA or Masters in Data/Analytics preferred.

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 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. 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.) 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 met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. 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 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 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: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/ Pharmacology/ Information Systems 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. 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 Supply Chain domain of the biopharma lifecycle. 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.) 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 met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Supply Chain domain of the biopharma lifecycle. 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 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 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: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience.

Overview Lead a team of supplier domain stewards to successfully deliver data governance for the Requisition to Pay program in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation. Responsibilities Manage a team of 3 direct reports Drive supplier domain metadata mgmt. to enable understanding of data Lead supplier domain data quality mgmt. to ensure data is fit for business use Comply with data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data. Qualifications Overall 12+ yrs of experience. 5+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Packaged Good) company; Strong data management background who understands data, how to ingest data, proper data use / consumption, data quality, and stewardship. 5+ years of experience working with data in the Supplier domain and Requisition to Pay processes, systems and data. Preferred working with SAP implementations, including significant knowledge of master data table schema and exposure to data conversion, workflows, and the design of data quality rules. Preferred experience working with SAP S/4 HANA and SAP MDG Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented. 3+ years of experience managing/leading data professional direct report(s).

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 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. 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.) 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 met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. 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 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 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: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . The Item Center of Excellence has elevated the importance of Item Excellence as it has direct impact on Target s digital guest experience, operating expenses, and gross margin. As an Item Data Steward, you will be responsible for working across the enterprise to establish partnerships, best practices, and processes focused on driving digital growth and a strong guest experience. This will include, but not be limited to, stewarding overall item quality, managing data sources, resolving item issues, and documenting best practices and definitions for overall item excellence. As a Sr. Item Data Steward, you will take the lead as you: Manage cross-functional efforts focused on driving item data consistency, accessibility, reliability and discoverability. Develop processes to evaluate and govern overall item data quality to meet business needs across the Enterprise. Develop project plans for driving key objectives and priorities in support of the Item Center of Excellence strategy. Analyze item attribute usage by category and guest significance to understand the impact and importance of each item attribute within the business. Collaborate with internal teams to drive continuous improvement to operational and item excellence routines. Identify and lead key item accuracy, completeness, consistency, and uniqueness strategies (IQI) within the Item COE and across the enterprise. Work closely with the item certification team to implement processes to identify item discrepancies causing significant guest, compliance, or operational issues. Collaborate with product teams to inform and share item excellence data and best practices in support of key initiatives. Consult with taxonomy team to provide clarity on item structure with identified issues. Champion the development and implementation of product data and hierarchy standards within and across categories. Influence the coverage and breadth of item quality business processes in partnership with data quality analysts. Display strong cross-functional leadership as you build strong working relationships with Item Process, Item Taxonomy, Item Content, and Item Data Quality across all levels including leadership. Provide timely communication of item excellence performance to all levels of leadership within Item COE. Team and Partner Management: Reports to Director, Enterprise Item. No direct team member reports. Partners with multiple Item COE teams including Item Setup, Item Process, Data Quality, Taxonomy, Item Product, Item Data Acquisition, and Item Certification as required. Will be responsible for building and maintaining strong external partnerships (where applicable)product, Target+, AP, Legal and Compliance, site merchandising, merchandising Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you College degree or equivalent work experience Experience in project management, partnership management, program management, and/or data stewardship High level of analytical aptitude with experience measuring and tracking key metrics for continual improvement Strong verbal and written communication skills Strong organizational and prioritization skills with the ability to manage multiple projects concurrently in a fast-paced environment. Ability to train new concepts, processes, requirements, and expectations A partner-centric mindset; motivated by collaboration and cross-functional work PC experience (Excel, Word, PowerPoint)

We have Immediate Openings Data Governance with Alation for Contract to Hire role for multiple clients. Job Details Skills Data Governance with Alation 8+ years of experience in data governance, data cataloging, or data management, with at least 3+ years of experience working with Alation. Strong understanding of data governance frameworks, data stewardship, and metadata management. Experience with relational databases, ETL tools, and data warehouse environments. Familiarity with SQL and scripting languages (Python, Shell, etc.) for automation and troubleshooting. Ability to configure Alation's core components and has hands-on experience on functional architecture Experience with data governance tools such as Collibra, Informatica, or similar is a plus. Experience in implementing Alation within large enterprise environments. If you are interested in, please share the update profile with below details. Current CTC Expected CTC Notice Period Total Experience Relevant Experience

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 whats next for their businesses. Your Role Consultative Collaboration: 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. Narrative-Driven Communication: 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. Ethical Analytics Leadership: 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.

You will play a key role in implementing and driving adoption of Amgen's data governance framework, modernizing the data ecosystem to position Amgen as a leader in biopharma innovation. Leveraging advanced technologies such as Generative AI and Machine Learning, you will provide expert domain, technical, and business process support. This role requires close collaboration with business stakeholders, data analysts, Product Data Owners, and data leaders to increase data trust and reuse across Amgen. Roles & Responsibilities Lead adoption of the data governance framework for a specific domain (e.g., Research, Development, Supply Chain). Operationalize the enterprise data governance framework, aligning stakeholders on data governance needs, including: Data quality Data access controls Privacy and security compliance Master data management Data sharing Communication and change management Collaborate with Enterprise MDM and Reference Data teams to enforce data standards and promote reusability. Drive cross-functional alignment within assigned domains to ensure adherence to data governance principles. Develop policies covering data, metadata, privacy, lineage, access, security, retention, and archival. Maintain detailed documentation of: Data definitions and standards Data flows Legacy data structures and hierarchies Common data models and harmonization Ensure compliance with data privacy, security, and regulatory policies within assigned domains. Partner with Technology, business, and enterprise teams (e.g., MDM, Data Fabric) to define specifications for data foundation development and implementation. Build and maintain strong relationships with key business leads and partners to meet their data governance needs. Must-Have Functional Skills Technical expertise in advanced SQL, Python, etc., with deep knowledge of Pharma processes, specializing in domains such as Research, Clinical Trials, Commercial, etc. Extensive experience working with or supporting data governance tools like Collibra or Alation. In-depth knowledge of data management concepts including: Common data models Metadata management Data quality Master data management Data stewardship Data protection Experience managing the data product development lifecycle, enabling data dictionaries and business glossaries to increase reusability and literacy. Customer-focused with excellent written and verbal communication skills, able to work confidently with internal stakeholders and external service partners on business and technology topics. Ability to manage Scrum teams. Good-to-Have Functional Skills Experience working with data governance councils or forums. Familiarity with Agile software development methodologies such as Scrum. Soft Skills Excellent analytical skills. Ability to work effectively with global, virtual teams. Strong multitasking and priority management capabilities. Team-oriented with a focus on achieving shared goals. Ability to build business relationships and understand end-to-end data use and requirements. Excellent interpersonal and people management skills (matrix or direct line function). Strong verbal and written communication skills. Basic Qualifications Master's degree with 8-10 years experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor's degree with 10-14 years experience in Data Science, AI, Computer Science, or related fields OR Diploma with 14-16 years hands-on experience in Data Science, AI/ML technologies, or related technical domains.

What You Will Do Let's do this. Let's change the world. We are seeking a detail-oriented and proactive Data Steward to support our pharmaceutical data governance initiatives. The ideal candidate will ensure the quality, consistency, integrity, and security of data across our systems, particularly within commercial, regulatory, R&D, and supply chain functions. You will play a key role in managing master data, supporting compliance (GxP, GDPR), and facilitating data-driven decision-making across the organization. Responsibilities Maintain and monitor master data for key domains (e.g., customer, product, vendor, material). Identify, investigate, and remediate data issues using profiling tools and dashboards. Define and enforce data definitions, naming conventions, and standard operating procedures. Identify and correct data quality issues and anomalies using established data validation protocols. Implement data cleansing and enrichment processes. Support company-wide data governance policies and frameworks. Ensure data compliance with internal standards and external regulations (FDA, EMA, GDPR). Work closely with regulatory and quality teams to ensure alignment with compliance standards. Use statistical tools and modeling techniques to interpret trends, patterns, and correlations. Maintain data pipelines and manage data cleaning processes. Help identify data gaps and recommend solutions for improvement. Ensure data accuracy, consistency, and integrity across systems. Analyze large and complex datasets from internal and external sources (clinical trials, sales, market data). Serve as a liaison between business units (e.g., marketing, regulatory, supply chain) and IT. Collaborate with data owners and SMEs to define and enforce data standards. Provide training and support to end-users on data management best practices. Maintain the accuracy and completeness of master data in key systems (SAP, Veeva, Oracle). Support data migration and integration projects, ensuring clean and standardized data input. Assist in data extraction, reporting, and analytics to support business operations and decision-making. Generate periodic data quality reports and metrics. Basic Qualifications Degree in Computer Science, Data Management, or related field preferred with 2-5 years of software development experience. 25 years of experience in a Data Steward, Data Analyst, or related role in the pharmaceutical industry. Experience with data systems such as SAP, Veeva, Salesforce, Oracle, or Informatica (preferred). Excellent communication and collaboration skills. Preferred Qualifications Experience with global data governance or enterprise data management initiatives. Knowledge of GxP, FDA/EMA guidelines, and industry-specific data compliance. Proficiency in SQL and at least one programming language (Python, R). Strong skills in data visualization tools (Power BI, Tableau, Qlik). Strong skills in Postgres SQL/MongoDB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets. Excellent communication skills, with the ability to present complex data in a simple, understandable way. Good-to-Have Skills Postgres SQL/MongoDB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets. Design patterns, data structures, data modeling, data algorithms. Soft Skills Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills

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 regulations and standards 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 practices- Familiarity with data privacy and security regulations Additional Information:- The candidate should have a minimum of 5 years of experience in Collibra Data Governance.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Director, Data Strategy and Governance What you will do The Director of Data Strategy and Governance will operationalize Amgen’s data governance vision across the enterprise to accelerate AI innovative solutions to better serve patients. The Director will be responsible for translating the direction from the Enterprise Data Council into operational level impact deliverables, data governance policies and standards. ?he Director will partner with senior leadership to align data initiatives with business goals. Overall accountability for the Enterprise Data Governance program. Coordinates with data and process owners to interpret Enterprise Data Council objectives and principles to drive data governance across Amgen. Manage the team of Data Strategy & Governance Leads, which specializes in specific domains. Lead multi-functional Data Governance Forums. Drive compliance and create tactical level guides for implementation as necessary (GDPR, CCPA, etc.) Coordinate with Enterprise Data Council, data and process owners to define and monitor metrics. Escalation point of contact for operational level data and process issues Resolve or escalate data asset, process, and governance issues through interpretation of Enterprise Data Council objectives. Responsible for rolling out and increase adopting of the Enterprise Data Governance Framework, aligning broader partner 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. Maintain documentation and ensures their organization are the experts on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. Identify areas for data governance improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design changes Developing metrics to measure effectiveness and drive adoption of Data Governance policies and standards that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, reporting / consumption). Establish enterprise level standards on the nomenclature, content, and structure of information (structured and unstructured data), metadata, glossaries, and taxonomies. Jointly with the Technology team, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of Information Systems experience OR Master’s degree and 14 to 16 years of Information Systems experience OR Bachelor’s degree and 16 to 18 years of Information Systems experience 6 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. Demonstrated leadership experience and demeanor to spearhead strategy and implementation of information standards. Technical skills with in-depth knowledge of Pharma processes with preferred specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.). Aware of industry trends and priorities and can apply to governance and policies. In-depth knowledge and experience with data governance principles and technology; can design and implement Data Governance operating models to drive Amgen’s transformation to be a data driven organization. In-depth 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. Preferred Qualifications: Co-develop the data foundations and data products in collaboration with functions and Digital teams. Demonstrated willingness to make decisions and influence senior executives/multi-functional leaders. Ability to successfully implement complex projects in a fast-paced environment and in managing multiple priorities effectively. Ability to manage projects or departmental budgets. Experience with modelling tools (e.g., Visio). Basic programming skills, experience in data visualization and data modeling tools. Soft Skills: Ability to build business relationships and understand end-to-end data use and needs. Good interpersonal skills (great teammate). People management skills either in matrix or direct line function. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. Good attention to detail, quality, time management and customer focus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are Hiring Data Governance Analyst Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Governance can apply. Job Title : Data Governance Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are seeking a seasoned and detail-focused Senior Data Governance Analyst (Level 3) to support and drive enterprise-wide data governance initiatives . This position will play a crucial role in implementing and managing data governance frameworks , ensuring data quality , and supporting regulatory compliance efforts across business units. The ideal candidate will bring deep expertise in data governance best practices , data quality management , metadata , and compliance standards within the financial services industry . As a senior team member, the analyst will collaborate closely with data stewards , business stakeholders , and technical teams to ensure consistent, accurate, and trusted use of enterprise data. Key Responsibilities: Implement and enhance data governance policies, standards, and processes across the organization Partner with business and technical teams to define and manage data ownership, stewardship , and accountability models Maintain and improve metadata and data lineage documentation using tools such as Collibra , Alation , or similar platforms Monitor key data quality metrics , conduct root cause analysis , and lead issue resolution efforts Ensure compliance with regulatory data requirements (e.g., BCBS 239, GDPR, CCPA ) Facilitate and lead data governance meetings , working groups, and stakeholder communications Support the creation and deployment of data literacy initiatives across the enterprise Document governance practices and develop reports for audits and executive leadership Serve as a subject matter expert in data governance and promote data management best practices across departments Required Skills & Qualifications: 5+ years of experience in Data Governance , Data Quality , or Data Management roles Proven experience in developing and managing data governance frameworks in complex organizational environments Strong understanding of data quality principles , data standards , and issue management workflows Experience with metadata management , data cataloging , and lineage tracking Proficiency with governance tools like Collibra , Alation , or similar platforms Solid grasp of data compliance and regulatory standards in the financial services sector Excellent communication, stakeholder engagement, and documentation skills Strong analytical thinking and problem-solving capabilities Preferred Qualifications: Experience in banking or financial services environments Understanding of enterprise data architecture , Master Data Management (MDM) , and BI/reporting systems Knowledge of data privacy regulations such as GDPR , CCPA , etc. Experience working within Agile project methodologies For further assistance contact/whatsapp : 9354909517 or write to hema@gist.org.in

About This Role Position Overview: BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data stewardship function In this role, you will be responsible for ensuring that data products are accurately defined, compliant with data governance policies, and delivered effectively to meet business needs You will work closely with cross-functional teamsincluding business stakeholders, technical teams, and external vendorsto manage the full lifecycle of data products from ideation to delivery The ideal candidate will have at least 4 years of experience in data stewardship, data governance, and data modeling, and will thrive in a fast-paced, results-driven environment, Key Responsibilities As an Associate Data Steward, your responsibilities will span several key areas: Business & Strategic Acumen: You will collaborate closely with business units to understand evolving data requirements and align data products to meet strategic goals and objectives You will ensure that data products support various use cases, such as operational efficiencies, risk management, and commercial applications, while defining success criteria for data offerings in collaboration with key stakeholders, Data Governance & Quality: A core aspect of this role is managing data quality through the application of robust data governance controls You will be responsible for monitoring data health, implementing data quality metrics, and ensuring that data products meet established standards for accuracy, completeness, and consistency Regular assessments of data sources and processes will be part of your ongoing responsibilities to identify deficiencies and opportunities for improvement, Data Product Lifecycle Management: You will support the full delivery lifecycle of data products, from ideation to release This includes working with cross-functional teamssuch as product managers, engineers, and business stakeholdersto plan, design, and deliver data products In addition, you will contribute to the design and creation of conceptual, logical, and physical data models to ensure that data products meet business requirements, Requirements Gathering & Documentation: You will be actively involved in gathering, defining, and documenting business requirements for data products This includes translating business needs into detailed data requirements and user stories for development teams You will work to break down complex data problems into manageable tasks, ensuring alignment between technical and business requirements, Testing & Quality Assurance: During the testing phase of data product development, you will collaborate with engineering and quality assurance teams to validate that data is accurately extracted, transformed, and loaded Ensuring that data governance controls are applied during testing is also part of your role, and you will help resolve any issues that arise, Vendor & Stakeholder Management: You will manage relationships with external data vendors to ensure that data feeds meet business requirements and quality standards Additionally, you will work with both internal and external stakeholders to ensure that data products align with organizational goals and address customer needs Regular engagement with stakeholders will be key to soliciting feedback on data products and identifying opportunities for enhancement, Data Stewardship Support: In addition to data management, you will provide Level 3 support for complex data-related inquiries and issues You will proactively identify data challenges and offer data-driven solutions to meet business objectives You will also participate in data governance initiatives, helping to define and implement best practices for data stewardship across the organization, Collaboration & Communication: You will communicate effectively with both technical and non-technical teams, ensuring that complex data concepts are conveyed clearly Your collaboration with internal and external teams will ensure that data solutions align with business goals and industry best practices You will be expected to work in an agile environment, managing multiple priorities to ensure efficient and timely data product delivery, Qualifications & Requirements The ideal candidate will possess the following qualifications: Experience At least 4 years of experience in data stewardship, data governance, or a related field, Experience in the financial services industry is a plus, but not required, A strong background in data modeling (logical, conceptual, physical), data governance, and data quality management is essential, Technical Skills Proficiency in data management tools and technologies such as SQL,, Unix,, Tableau, etc Familiarity with data governance platforms (e-g, Aha!, ServiceNow, Erwin Data Modeling, DataHub) and methodologies for data management and quality assurance is preferred, Knowledge of databases (Relational, NoSQL, Graph) and cloud-based data platforms (e-g, Snowflake) is also beneficial, Business & Communication Skills Strong business acumen and the ability to align data products with both organizational and client needs, You should be able to effectively communicate complex technical concepts to both technical and non-technical stakeholders, Strong organizational skills and the ability to manage multiple tasks and priorities in an agile environment are essential, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week Some business groups may require more time in the office due to their roles and responsibilities We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock, About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress, This mission would not be possible without our smartest investment the one we make in our employees Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive, For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: linkedin,com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law,

Job Description -Data Steward, Digital Customer and Commercial Be part of something bigger! As the world and the way people live is changing, at Bekaert we believe its our responsibility to contribute to finding new solutions for the future. Our ambition is to be the leading partner for shaping the way we live and move. And to always do this the Bekaert Way safe, smart, and sustainable. With a heritage of more than 140 years, we continue to strengthen our core competencies that have made Bekaert a global market and technology leader in material science of steel wire transformation and coating technologies. Today, we also apply our expertise beyond steel to create new solutions with innovative materials and services for markets including new mobility, low-carbon construction, and green energy. As a dynamic and growing company with over 27,000 employees worldwide, 75 nationalities, a retention rate above 90% and almost € 7 billion in combined revenue in 2022, we're looking for someone like you to join our team! Your Impact As a Master Data Steward for Customer Commercial domain (oversees Master data management, data quality rules, and governance etc.) and responsible for global master data practices, you will be responsible for represent business information and data by aligning with integrating strategic vision and roadmap for Customer Commercial, you will assure and drive in the process domain of Customer Commercial Role & responsibilities Streamline SAP Master Data management and practices across business units : Bekaert has diverse portfolio in steel wire segment and is spread across multiple geographies . Each business unit has its own complexities and data management rules as per business practices. Its vital to understand the operational complexities and business requirements in Customer Commercial domain and suggest optimal master data structure for this domain. As Global master data steward you will be responsible for - Help Master data transformation from data legacy tool to SAP MDG. Enable effective SAP master data and governance Lead and support master data projects Strengthen Master Data support for all business units Essential skills & competencies Strong knowledge of SAP master data modules and functionality, experience of processes in functional areas like SAP SD/MM. Proven experience of working in Master Data Management and Governance function, with ha nds on working on MDM tool (SAP ECC, S/4, SAP MDG) setting up master data policies, defining rules and Data quality framework. Expertise in working on mass scale data creation/ update in SAP, working on data migration and data clean-up drives. Experience in working with geographically distributed team, acting as data steward protecting data assets and interest of the organization in validating and governing the master data practices and processes. Strong communication and collaboration skills. Ability to assess rapidly changing technologies and apply them to business needs. Preferred candidate profile Education & Experience: Bachelors degree in information system or a related field , with experience in the Customer Commercial domain, including demonstrated affinity for master data, data governance and drive for digital and automation in data initiatives. 6+ years of overall experience with 3+ years progressive work experience in a similar role related to the Master Data steward in manufacturing industry. Experience of working with globally distributed teams and partners. Soft Skills : Strong problem-solving and strategic thinking skills. Experience in leading globally dispersed teams. Excellent collaboration and communication skills. Demonstrated adaptability and continuous learning mindset. Ability to align technical solutions with broader business objectives. Proven experience in leading and coordinating project teams What We Offer: Opportunity to work on global enterprise-scale ERP / SAP and Data Strategy and Governance projects. Leadership role with high visibility and impact on Bekaert's digital transformation. Collaborative, inclusive, and innovation-driven work environment. Professional development opportunities and continuous learning. Access to cutting-edge tools and technologies. What will be there in for you: We offer hybrid options to help you balance work and life. Flexible hybrid working policy, 3 days work from office and 2 days work from home. A supportive, inclusive work environment that values diversity, equity, and inclusion A great opportunity to play your part in an international growth story. Learning programs developed by our L&D team. We encourage creativity and innovation, and we support your growth and development. Your voice matters! Other benefits package (Health, pension,EAP programs for wellness and wellbeing of our employees)

Manager- Enterprise Data- 4-8 years- Mumbai (Hybrid) LOCATION - Mumbai Future Employer- This global financial services organization operates as a strategic capability center supporting a leading investment and savings business headquartered in the UK. With a focus on delivering technology, data, operations, and customer service solutions, it plays a critical role in enabling business growth and operational efficiency across global markets. Primary Key Responsibilities: Collaborate with Data Owners, Data Stewards, and business/technology teams to populate the enterprise data catalogue. Work with stakeholders to define and create data quality rules within the chosen data quality tooling. Support the roll-out and adoption of data management tooling and marketplace across various business areas. Assist in the implementation of data management policies, standards, and procedures. Contribute to other data management activities as required to enhance the organization's data capabilities. Utilize SQL to query and analyze datasets for data profiling and validation. Effectively manage time, prioritize tasks, and organize work to ensure deadlines are met. Demonstrate a proactive approach to learning and a passion for making a tangible difference in data management practices. Requirements: Practical experience of working in a data governance/management team at a significant organization for 4+ years. Working experience in one or more data management tools such as Informatica Axon/IDQ/EDC, Collibra, Datactics, or Microsoft Purview. Good knowledge of SQL for querying and analyzing datasets. Effective time management, prioritization, and organizational skills. Demonstrated passion and enthusiasm to learn and contribute to data management initiatives. Bachelor's or Master's degree in IT. Experience working in the financial services / insurance industry (Desirable). Data Management certifications (a plus). What's in it for you? Opportunity to be part of a significant transformation program within a leading financial services organization. Exposure to cutting-edge data management tools and technologies. Collaborative work environment with opportunities to interact with various business and technology stakeholders. Be a key contributor in building and enhancing the organization's data governance and management capabilities. Potential for professional growth and development within the Enterprise Data team and M&G plc. Be part of an inclusive employer that values diversity and fosters a culture where difference is celebrated. Reach us If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at priya.bhatia @crescendogroup.in Disclaimer Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. 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 . You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. 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 Product Data Owner s and data leaders to increase the trust and reuse of data across Amgen . Roles & Responsibilities Responsible for the adoption of data governance 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. ? D evelop s policies for data, metadata, privacy, lineage, access, security, retention, and archival. 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 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.) In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation 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 Ability to manage scrum teams Good-to-Have Functional Skills: Experience of working with data governance councils or forums 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. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills Basic Qualifications Minimum 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. 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 Minimum experience with 5 - 8 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. 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 stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Stewards to increase the trust and reuse of data across Amgen. Roles & Responsibilities Contribute to the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). ? Assess and document with the stakeholder community 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. 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?. Functional Skills: Must-Have Functional Skills: General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. General knowledge 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: K nowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used for data management . E.g. Collibra, Ataccama Data Quality platform. Experience with Agile software development methodologies (Scrum ) Soft Skills: Good analytical skills Ability to work effectively with global, virtual teams Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Good verbal and written communication skills Basic Qualifications Minimum Experience with 2 - 5 years of experience in Business, Engineering, IT or related field EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .