Data Science Sr Director, Research Data Domain Lead

Career Category Scientific Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Science Sr Director, Research Data Domain Lead What you will do Let’s do this. Let’s change the world. 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. 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. This is a highly visible leadership role requiring scientific data fluency, strong enterprise and systems thinking, and the ability to build trusted relationships across a complex matrix. The successful candidate will connect people as well as ideas, translate complex Research needs into clear priorities and decisions, and create an environment in which difficult messages and firm prioritizations can be delivered openly, respectfully, and constructively. A positive, can-do attitude and a genuine enjoyment of building authentic networks will be important to success. 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. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications. 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. Your managerial experience may run concurrently with the required technical experience referenced above 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 adop