Senior Director, Technology, Operations, and Data Enablement

Career CategorySales & Marketing OperationsJob Description Join Amgen’s Mission of Serving PatientsAt 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.Senior Director, Technology, Operations, and Data Enablement What you will doLet’s do this. Let’s change the world. In this vital role  you will serve as a senior enterprise leader responsible for building the technology, operations, data, and applied analytics enablement foundation. This role combines Technology & Operational Enablement with strategic data partnerships, data purchases, and applied data science. You will define how the Obesity organization identifies, acquires, governs, connects, and activates data across Commercial, Medical, Market Access, Finance, Forecasting, Operations, Digital, IS, AI&D, GCCI, and other enterprise partners. You will also lead a small, high-impact team of data scientists focused on prototyping, validating, and helping deploy decision products, AI-enabled tools, and scalable analytics solutions that convert complex inputs into trusted action. The successful candidate will operate at the intersection of business strategy, data strategy, technology enablement, operational excellence, applied data science, AI&D partnership, and enterprise execution. This leader will serve as the Obesity business owner for the decision-intelligence roadmap, ensuring data and technology investments translate into faster decisions, stronger adoption, improved operating discipline, and measurable impact. Operating with a high degree of autonomy, you will partner closely with senior and executive leaders, the enterprise data team, AI&D, IS, and GCCI to build an integrated, governed, AI-ready Obesity data ecosystem and decision-intelligence gateway.  You will influence across a complex matrix, lead high-performing teams, and establish the operating model required to support near-term execution and long-term leadership. This is a Flexible Commuter role based at the Thousand Oaks, CA campus, with an expectation of at least 3 days per week on-site.Technology, Operations, and Data Enablement Strategy Lead the Technology & Operational Enablement agenda for Obesity Intelligence & Analytics, ensuring the organization has the platforms, workflows, operating model, and execution discipline required to scale insights across the enterprise. Serve as the business owner for the Obesity decision-intelligence roadmap, aligning data assets, analytics products, technology capabilities, applied data science, and operating rhythms to the highest-value needs. Define Obesity data needs and partner closely with the enterprise data team, AI&D, IS, and GCCI to shape the architecture for the Obesity data ecosystem and decision-intelligence gateway, including governed data models, semantic and knowledge layers, and reusable data products that enable scalable analytics, self-service insights, and deployment of agentic solutions. Define how Obesity teams request, prioritize, build, validate, deploy, and maintain analytics products, dashboards, decision tools, data assets, and AI-enabled solutions. Lead development of an integrated Obesity intelligence ecosystem, including governed reporting layers, decision dashboards, self-service analytics, KPI frameworks, risk monitoring, and executive decision support. Drive standardization of critical business definitions, metrics, methodologies, reporting cadences, and data products across the Obesity organization. Reduce fragmentation, duplicative reporting, manual workflows, and inconsistent assumptions by building scalable enablement processes across functions. Establish operating rhythms that improve decision speed, accountability, data transparency, and cross-functional alignment. Strategic Data Partnerships, Purchases, and Data Asset Strategy Lead the end-to-end data partnership and purchasing strategy for Obesity, ensuring alignment with brand strategy, lifecycle planning, access priorities, medical objectives, forecasting needs, and enterprise data strategy. Translate priorities into a sequenced data roadmap that identifies the highest-value data assets, supplier partnerships, analytics capabilities, and investment trade-offs required to support Obesity decisions. Partner with AI&D and enterprise data leaders to ensure external data purchases are fit for analytics, AI-enabled use cases, scalable data products, and long-term decision intelligence needs. Partner with GCCI to evaluate, prioritize, negotiate, onboard, and renew external data sources, including secondary data, claims, EMR/EHR, consumer, HCP, payer, patient journey, social, digital, and emerging data sources. Ensure each data purchase has a clear business purpose, decision linkage, ownership model, quality standard, adoption plan, and measurable value expectation. Provide an objective senior perspective to leadership on data requirements, supplier performance, capability gaps, and implications for brand, access, medical, commercial, forecasting, and lif