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About the Role

Amgen is seeking a Data Science Senior Director, Research Data Domain Lead to lead the Research Data Enablement Hub and establish and drive the data strategy for Research. This role is an opportunity for Research to take greater accountability for assigning meaning to our data, making clear choices about its value and use, and driving change toward a more robust, FAIR, AI-ready data ecosystem.

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 as well as addressing current issues.
Translate Research and enterprise strategy into a clear Research Data Domain vision, priorities, roadmap, and measurable outcomes, with particular focus on 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, serving as a strong Research voice and ex officio member of the Enterprise Data Council while 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.
Help Research define what its data means, why it matters, and how it should be used and reused.
Drive adoption of data governance and stewardship across Research through Subdomain Leads, Data Champions, and Data Stewards, establishing clear 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 that data risks, privacy, security, and regulatory requirements are effectively managed in partnership with the 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, EDSE, and business, privacy, security, and compliance teams to align data investments, resolve cross-domain issues, and ensure that Research needs are translated into practical, scalable capabilities.
Build alignment across senior stakeholders, make complex choices and trade-offs explicit, deliver clear and sometimes difficult messages with a collegial and welcoming approach, and drive timely decisions with collective accountability for outcomes.
Lead through influence across a matrixed network of Subdomain Leads, Data Champions, and Data Stewards, building strong networks of authentic connectivity and fostering a culture of data ownership, stewardship, and data-driven decision making.
Drive sustained adoption of new governance routines, standards, and operating behaviors across Research, moving beyond one-time compliance toward durable organizational change and continuous improvement.

Requirements

Doctorate degree in a relevant field and 5 years of significant relevant experience
Master’s degree in a relevant field and 9 years of significant relevant experience
Bachelor’s degree in a relevant field and 11 years of significant relevant experience
At least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.
Deep understanding of the drug discovery and preclinical development process.
Deep understanding of one data types common in Research (ie genetics, biologics, small molecule, assay, etc).
Broad knowledge of the 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, with the ability to translate between scientific objectives, Research data needs, enterprise reuse, and measurable business value.
Proven track record of driving sustained adoption and organizational change, translating Research and enterprise strategy into a compelling Research Data Domain vision, priorities, roadmap, and measurable outcomes.
Demonstrated ability to build trusted relationships and strong networks across organizational boundaries, with an authentic, inclusive, and collaborative leadership style.
Positive, pragmatic, and action-oriented leadership style, with the resilience and judgment to maintain momentum through ambiguity, competing priorities, and organizational change.
Demonstrated ability to challenge constructively, deliver difficult messages, and make firm prioritization decisions while maintaining openness, collegiality, and respect.

Skills

Data Strategy
Data Governance
Data Stewardship
FAIR Data Principles
AI-ready Data Ecosystems
Matrixed Leadership
Stakeholder Management
Change Management
Scientific Data Fluency
Enterprise Data Strategy
Data Product Management
Risk Management
Privacy and Security
Regulatory Compliance

Location

Work Type

Flexible work models where possible

Experience Level

Senior Director
5 years of significant relevant experience
9 years of significant relevant experience
11 years of significant relevant experience
5 years experience directly managing people or leading teams

Education Level

Doctorate degree
Master’s degree
Bachelor’s degree

Salary/Compensations

USD - USD

Benefits

Comprehensive employee benefits package
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

About the Company

Amgen's mission is to serve patients living with serious illnesses.
Since 1980, Amgen has pioneered the biotech industry in the fight against the world's toughest diseases.
Focuses on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease.
Advances a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.
Award-winning culture is collaborative, innovative, and science based.
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.

Equal Opportunity

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.
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.
Will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.