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Amgen

Makes biotech medicines for serious illnesses

Data Science Senior Director – Research Data Domain Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A doctorate degree in a relevant field and 5 years of significant relevant experience, or a master's degree in a relevant field and 9 years of significant relevant experience, or a bachelor's degree in a relevant field and 11 years of significant relevant experience.
  • At least 5 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources; this experience may run concurrently with the required technical experience.

Responsibilities

  • Lead the Research Data Enablement Hub and own execution of the Research Data Domain Strategy, aligning scientific, business, and enterprise priorities and anticipating future data needs while addressing current issues.
  • Translate Research and enterprise strategy into a Research Data Domain vision, priorities, roadmap, and measurable outcomes, moving Research from fragmented local solutions toward reusable, governed, FAIR data and data products.
  • Represent the Research Data Domain in enterprise governance and strategy forums as a Research voice and ex officio member of the Enterprise Data Council, enabling cross-domain collaboration, interoperability, and data reuse.
  • Provide accountability for Research domain data assets and data products, setting direction for ownership, governance, usage rules, protection, quality, and lifecycle management, and helping Research define data meaning, value, and use and reuse.
  • Drive adoption of data governance and stewardship across Research through Subdomain Leads, Data Champions, and Data Stewards, establishing accountability, decision rights, and effective governance forums.
  • Drive FAIR data maturity and data standard adoption in Research in alignment with the Enterprise Data Strategy, ensuring consistent governance, standardization, and scalability across the domain.
  • Ensure data risks, privacy, security, and regulatory requirements are managed in partnership with appropriate stakeholders.
  • Approve and prioritize the Research Data Domain data product portfolio, promoting reusable, FAIR-aligned, and AI-ready data products.
  • Support AI, analytics, and digital transformation initiatives by ensuring the availability of high-quality, governed, and AI-ready Research data.
  • Balance trade-offs across scientific value, enterprise reuse, risk, cost, and budget to focus resources on the highest-value outcomes.
  • Lead and resolve cross-subdomain decisions involving data ownership, priorities, standards, quality, reuse, and investment, escalating enterprise-level decisions where appropriate.
  • Partner with R&D Tech, Enterprise Data Strategy and Engineering, and business, privacy, security, and compliance teams to align data investments, resolve cross-domain issues, and translate Research needs into practical, scalable capabilities.
  • Build alignment across senior stakeholders, make complex choices and trade-offs explicit, deliver clear and sometimes difficult messages constructively, and drive timely decisions with collective accountability for outcomes.
  • Lead through influence across a matrixed network of Subdomain Leads, Data Champions, and Data Stewards, fostering data ownership, stewardship, data-driven decision making, and strong organizational networks.
  • Drive sustained adoption of new governance routines, standards, and operating behaviors across Research, advancing durable organizational change and continuous improvement.

Desired Qualifications

  • Deep understanding of the drug discovery and preclinical development process.
  • Deep understanding of one data type common in Research, such as genetics, biologics, small molecule, or assay data.
  • Broad knowledge of major data types, data subdomains, and data flows across Research.
  • Experience balancing trade-offs across scientific value, enterprise reuse, risk, cost, and budget.
  • Scientific data fluency and ability to translate between scientific objectives, Research data needs, enterprise reuse, and measurable business value.
  • Track record of driving sustained adoption and organizational change and translating Research and enterprise strategy into a Research Data Domain vision, priorities, roadmap, and measurable outcomes.
  • Ability to build trusted relationships and strong networks across organizational boundaries with an inclusive and collaborative leadership style.
  • Pragmatic, action-oriented leadership with resilience and judgment to maintain momentum through ambiguity, competing priorities, and organizational change.
  • Ability to challenge constructively, deliver difficult messages, and make firm prioritization decisions while maintaining openness, collegiality, and respect.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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