Senior Director Commercial Analytics
About The Position
The Senior Director of Commercial Analytics for Oncology leads a team that helps business leaders understand performance, identify growth opportunities, and make informed commercial and launch decisions. Reporting to the Executive Director, Business Analytics and Insights (BAI), the role works across brands and capabilities to deliver integrated recommendations and lead practical AI enablement and adoption. This is a flexible commuter role to Amgen’s U.S. headquarters in Thousand Oaks, with a minimum of two on-site days per week. The role sets Analytics priorities, plans and delivers work across brands, allocates team and partner resources, manages budgets, and keeps stakeholders and the Executive Director informed about progress, risks, and trade-offs. It identifies valuable AI use cases and partners with business and technology teams to bring approved tools into Analytics and brand workflows. It also leads AI adoption through engagement, training, coaching, and assessment of usage, output quality, and business value, with human review, data privacy, and compliance safeguards. The Senior Director guides patient, provider, and account analytics across demand, market share, patient journeys, segmentation, targeting, launch planning, and performance measurement. The position develops integrated plans and recommendations with Market Research, Forecasting, Competitive Intelligence, Data Science, and Field Excellence; leads cross-functional working forums and follow-through; owns the storyline and recommendations for key deliverables; and communicates business implications to senior leaders. The role also develops an agile, adaptable, and inclusive team through coaching, feedback, and clear expectations.
Requirements
- Doctorate degree and 4 years of analytics and/or reporting experience; or master’s degree and 8 years of analytics and/or reporting experience; or bachelor’s degree and 10 years of analytics and/or reporting experience.
- At least 4 years of managerial experience directly managing people and/or leadership experience leading teams, projects, or programs, or directing allocation of resources.
Nice To Haves
- Demonstrated success leading commercial Analytics across multiple pharmaceutical or biotechnology brands, balancing stakeholder needs, and delivering recommendations that inform business decisions.
- Experience introducing AI capabilities into business workflows, including user enablement, adoption, and change management, with a practical approach to evaluating quality and value.
- Agile, adaptable, and hands-on leadership style, with the ability to connect broader business context to analytical detail, adjust plans as evidence changes, and offer practical solutions.
- Experience in Oncology, specialty therapeutics, or launch planning, with an understanding of treatment pathways, provider and account dynamics, and commercial execution.
- Strong knowledge of pharmaceutical secondary data, including claims, prescription, sales, patient-level, and customer-engagement data, and the strengths and limitations of these sources.
- Experience applying analytical methods to performance diagnosis, patient and account opportunity assessment, segmentation, targeting, and measurement of commercial initiatives.
- Ability to explain complex findings clearly in writing and presentations and translate them into business implications and recommendations for senior leaders.
- Ability to integrate evidence and influence decisions across Market Research, Forecasting, Competitive Intelligence, Data Science, and commercial teams, including constructive resolution of differing views.
- Track record of developing talent, providing actionable feedback, and leading inclusive, high-performing teams, including distributed colleagues and external partners.
Responsibilities
- Partner with brand and field leaders to define business questions for Analytics, identify growth opportunities, and guide commercial decisions.
- Lead Analytics planning and delivery across brands; set priorities, allocate team and partner resources, manage budgets, and communicate progress, risks, and trade-offs.
- Identify valuable AI use cases and work with business and technology partners to introduce approved tools into Analytics and brand workflows.
- Lead change management for AI adoption, including stakeholder engagement, training, coaching, barrier resolution, and assessment of usage, output quality, and business value, with human review, privacy, and compliance safeguards.
- Guide patient, provider, and account analytics across demand, market share, patient journeys, segmentation, targeting, launch planning, and performance measurement.
- Ensure appropriate analytical methods, quality review, and clear communication of data limitations.
- Develop integrated plans and recommendations with Market Research, Forecasting, Competitive Intelligence, Data Science, and Field Excellence.
- Lead working forums and follow-through for cross-functional initiatives within the role’s remit.
- Own the final storyline and recommendations for key deliverables; shape interpretation and business implications and communicate them to senior leaders.
- Develop an agile, adaptable, and inclusive team through coaching, feedback, and clear expectations; encourage curiosity and experimentation while balancing pace with analytical quality and planning.
Benefits
- Health and welfare plans for staff and eligible dependents
- Retirement and Savings Plan with company contributions
- Medical, dental, and vision coverage
- Life and disability insurance
- Flexible spending accounts
- Discretionary annual bonus program, or a sales-based incentive plan for field sales representatives
- Stock-based long-term incentives
- Award-winning time-off plans and bi-annual company-wide shutdowns
- Flexible work models, including remote and hybrid arrangements where possible
- Career development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
