Data Science Sr Director, Research Data Domain Lead

The Research Data Domain Lead will lead matrixed execution of the Research Data Domain Strategy through a network of Subdomain Leads, Data Champions, and Data Stewards, and will lead the Research Data Enablement Hub with the Research Technology Data Co-Lead. The role will partner closely with R&D Tech and Enterprise Data Strategy and Engineering (EDSE), bringing Research priorities, standards, escalations, and strategy together while aligning local accountability and execution with Amgen's broader Enterprise Data Strategy.

Key Responsibilities

Strategic Data Leadership

• 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.

Data Governance, Ownership & Quality

• 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.

Data Products, AI & Enterprise Value

• 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.

Enterprise Partnership & Decision Leadership

• 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.

Organizational Leadership & Change

• 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.

Basic Qualifications

• Doctorate degree in a relevant field and 5 years of significant relevant experience OR Master's degree in a relevant field and 9 years of significant relevant experience OR Bachelor's degree in a relevant field and 11 years of significant relevant experience
• In addition to meeting at least one of the above requirements, you must have at least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources.

Preferred Qualifications

• 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.