Specialist Data Management

Amgen Inc; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Amgen Inc. is seeking a Data Governance Lead to spearhead the creation, implementation, and adoption of the Enterprise Data Governance framework across assigned business domains.

You will partner with Data Product Owners, Data Stewards, Technology, and enterprise data teams to improve data trust, quality, discoverability, protection, and reuse. You will drive adoption, define data ownership, and ensure governance across data quality, metadata, lineage, privacy, and security, while maintaining a

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, Business, Life Sciences, or related field.
• 813 years of relevant experience in Data Governance, Data Management, Data Quality, Metadata Management, MDM, or related disciplines.
• Experience operationalizing enterprise or domain-level Data Governance frameworks and processes.
• Knowledge of data dictionaries, ownership, stewardship, and governance metadata.
• Familiarity with data governance tools such as Collibra, Alation, Informatica.

Responsibilities

• Drive adoption and operationalization of the Enterprise Data Governance framework within assigned domains.
• Establish clear data ownership and accountability with Data Product Owners, Data Stewards, and Technology teams.
• Implement governance requirements across data quality, metadata, lineage, privacy, security, retention, sharing, and master/reference data.
• Maintain data definitions, business glossary, data standards, classifications, and data flows.
• Ensure privacy, regulatory, and compliance requirements are embedded into governance processes.
• Identify governance gaps and drive remediation actions.
• Support governance councils, stewardship forums, and governance metrics.
• Promote data literacy and adoption across business domains.

Skills

Data governance

Data management

Metadata management

Data quality

Data lineage

Privacy & security

SQL basics

Stakeholder management

Data catalog/tools

Education

Bachelor's or Master's in CS/IS/DS/Engineering/Business/Life Sciences

Tools

Collibra

Alation

Informatica

Job description

ABOUT THE ROLE

The Data Governance Lead will lead the creation, implementation and adoption of the Enterprise Data Governance framework across assigned business domains. The role will partner with business, Data Product Owners, Data Stewards, Technology, and enterprise data teams to improve data trust, quality, discoverability, protection, and reuse.

ROLES RESPONSIBILITIES

• Drive adoption and operationalization of the Enterprise Data Governance framework within assigned domains.


• Partner with Data Product Owners, Data Stewards, business, and Technology teams to establish clear data ownership and accountability.


• Implement governance requirements across data quality, metadata, lineage, access, privacy, security, retention, sharing, and master/reference data.


• Maintain data definitions, business glossary, data standards, classifications, data flows, and other governance documentation.


• Drive cross-functional alignment and adherence to enterprise governance policies and standards.


• Support identification and governance of Critical Data Elements and other high-value data assets.


• Partner with business and technology teams to define and monitor data quality requirements and remediation.


• Support metadata management and data catalog adoption to improve data discovery and reuse.


• Ensure applicable privacy, security, regulatory, and compliance requirements are embedded into governance processes.


• Identify governance gaps and risks and drive appropriate remediation actions.


• Support Data Governance councils, stewardship forums, governance metrics, and maturity reporting.


• Promote data literacy, accountability, and adoption of governance practices across business domains.

MUST-HAVE FUNCTIONAL SKILLS

• Strong experience in Data Governance and Data Management, including metadata, data quality, MDM, stewardship, lineage, privacy, and data standards.


• Experience operationalizing enterprise or domain-level Data Governance frameworks, policies, and processes.


• Experience with business glossaries, data dictionaries, ownership, stewardship, and governance metadata.


• Experience with Data Governance/catalog tools such as Collibra, Alation, Informatica, or similar.


• Good understanding of data quality rules, monitoring, issue management, and remediation.


• Ability to understand business processes, data flows, data models, and upstream/downstream data dependencies.


• Strong stakeholder management and ability to influence across business and technology teams.


• Working knowledge of SQL or similar data analysis techniques.

GOOD-TO-HAVE FUNCTIONAL SKILLS

• Experience with Data Product and Data Product Lifecycle Governance, including ownership, metadata, quality, access, certification, reuse, and retirement.


• Understanding and practical application of FAIR principles Findable, Accessible, Interoperable, and Reusable or similar data management frameworks.


• Strong functional/domain knowledge in areas such as Research, Clinical Development, Regulatory, Supply Chain, Commercial, or other enterprise functions.


• Experience working with Data Governance councils, stewardship forums, or governance operating models.


• Knowledge of governance maturity metrics, scorecards, and KPIs.


• Familiarity with cloud data platforms, semantic models, ontologies, or knowledge graphs.


• Experience in pharmaceutical, biotechnology, healthcare, or another regulated industry.


• Familiarity with Agile/Scrum delivery methodologies.

SOFT SKILLS

• Strong analytical and problem-solving skills.


• Excellent written and verbal communication.


• Strong stakeholder management and influencing skills.


• Ability to work effectively across global and cross-functional teams.


• Ability to manage multiple priorities and drive change in a matrixed environment.

BASIC QUALIFICATIONS

• Bachelor''s or Master''s degree in Computer Science, Information Systems, Data Science, Engineering, Business, Life Sciences, or related field.


• 813 years of relevant experience, with significant experience in Data Governance, Data Management, Data Quality, Metadata Management, MDM, or related disciplines.