Associate Director, Data Governance, FAIR, and AI-Readiness

Amgen

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Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Employment
Full-time
Posted
74 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $230k
$158k $283k
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This listing doesn't post a salary. Most similar roles pay $188,997–$271,131.

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Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 76 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 45 roles with salary data.

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At a glance

TL;DR · Associate Director, Data Governance, FAIR, and AI-Readiness

Role Posting Log in to save

The Associate Director, Data Governance, FAIR, and AI-Readiness joins the Information Systems team to advance enterprise data governance and FAIR data practices. This role involves leading cross-functional data strategy to create a data product operating model, ensuring trusted and reusable data is available for analytics and AI innovation. Key responsibilities include establishing value-realization frameworks, managing data ownership, and evolving federated governance models with clear decision rights. The position requires implementing metadata standards, persistent identifiers, and controlled vocabularies while managing data quality, privacy, and security. Candidates must possess biotechnology or pharmaceutical industry experience and proficiency with tools like Collibra, Databricks Unity Catalog, Reltio, SciBite, or TopQuadrant. The work focuses on solving complex problems regarding semantic interoperability, data lineage, and establishing readiness criteria for responsible AI and machine learning.

Skills

Data Governance FAIR Data Principles Data Product Operating Model Active Metadata Data Quality Knowledge Graphs Ontologies Semantic Interoperability Data Catalog Databricks Unity Catalog Collibra Reltio SciBite TopQuadrant Generative AI Retrieval-Augmented Generation Machine Learning Policy-as-Code Data Observability

What you'll do

  • Lead the enterprise Data Governance, FAIR, and data product strategy and roadmap.
  • Establish a value-realization framework to measure business outcomes and return on investment.
  • Execute the Enterprise Data Strategy including data ownership, lifecycle management, and data contracts.
  • Evolve a federated governance operating model with clear decision rights and stewardship accountabilities.
  • Embed FAIR practices into the data lifecycle using metadata standards and persistent identifiers.
  • Advance active metadata, data catalog, lineage, and knowledge graph capabilities to improve discovery.
  • Set governance policies for data quality, privacy, security, and responsible AI use cases.
  • Serve as the data engagement lead for assigned business functions to drive practice adoption.

What we're looking for

  • Doctorate degree and 2 years of Data Management, Information Systems, or related experience.
  • Master’s degree and 6 years of Data Management, Information Systems, or related experience.
  • Bachelor’s degree and 8 years of Data Management, Information Systems, or related experience.
  • Associate degree and 10 years of Data Management, Information Systems, or related experience.
  • Experience in the biotechnology or pharmaceutical industry with an understanding of regulated data and compliance.
  • 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, and interoperability.
  • Experience establishing data governance operating models, including ownership, stewardship, policy, and issue management.
  • Strong stakeholder management and communication skills to translate complex data topics into business value.
  • Experience implementing enterprise data strategy, scaling FAIR, and data products operating models (preferred).
  • Knowledge of modern data management capabilities like data observability, lineage, ontologies, and knowledge graphs (preferred).
  • Experience with tools such as Collibra, Databricks Unity Catalog, Reltio, SciBite, or TopQuadrant (preferred).
  • Experience enabling responsible AI, including data readiness for machine learning and generative AI (preferred).
  • Experience managing external partners and geographically distributed delivery teams (preferred).

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