Associate Director, Data Governance, FAIR, AI-Readiness
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Job Description
Amgen biotechnology data governance leader advancing FAIR practices and trusted data products. Enabling responsible AI readiness across regulated scientific and business data.
Responsibilities:
- Lead the enterprise Data Governance, FAIR, and data product strategy and roadmap
- Establish a value-realization framework measuring business outcomes, adoption, and return on investment
- Execute the Enterprise Data Strategy, including data ownership, reusable data products, lifecycle management, data contracts, and adoption measures
- Evolve a federated governance operating model with decision rights, ownership, stewardship, councils, standards, and escalation paths
- Advance FAIR maturity through lifecycle practices, metadata standards, persistent identifiers, controlled vocabularies, and access patterns
- Advance active metadata, data catalog, lineage, business glossary, semantic, and knowledge graph capabilities
- Set governance policies and controls for quality, observability, privacy, security, retention, and responsible use
- Partner with architecture, engineering, digital, security, privacy, legal, and business teams to operationalize governed data products
- Define and enforce data readiness criteria to enable responsible AI
- Serve as data engagement lead for an assigned business function and drive adoption of data management practices
- Manage large-scale data programs, cross-functional initiatives, and external partners
- Communicate outcomes, risks, dependencies, and value realization to senior leadership
Requirements:
- Associate degree and 10 years of Data Management, Information Systems, or related experience, or higher degree with fewer years of experience
- Experience in the biotechnology or pharmaceutical industry
- Understanding of regulated data, business processes, and compliance requirements
- Demonstrated leadership of enterprise data governance, data management, active metadata, data quality, or data product initiatives
- Hands-on understanding of FAIR data principles and practical application through metadata, standards, semantics, interoperability, and access controls
- Experience establishing data governance operating models, including ownership, stewardship, policy, standards, controls, and issue management
- Strong stakeholder management, communication, and influencing skills
- Experience implementing enterprise data strategy, scaling FAIR, data products operating model, and data contracts preferred
- Knowledge of active metadata, data observability, lineage, ontologies, knowledge graphs, and policy-as-code preferred
- Experience with Collibra, Databricks Unity Catalog, Reltio, SciBite, or TopQuadrant preferred
- Experience enabling responsible AI and data readiness for machine learning, generative AI, RAG, and AI agent use cases preferred
- Ability to define measurable outcomes for data investments preferred
- Experience managing external partners and geographically distributed delivery teams preferred
Benefits:
- Health and welfare plans for staff and eligible dependents
- Retirement and Savings Plan with generous company contributions
- Group medical, dental and vision coverage
- Life and disability insurance
- Flexible spending accounts
- Discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible
- Career development opportunities
- Work/life balance support
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