Senior Director Commercial Analytics

Amgen•Thousand Oaks, CA

4d•Hybrid

About The Position

The Senior Director of Commercial Analytics for Oncology leads the 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), this role works across brands and capabilities to deliver integrated recommendations and lead practical AI enablement and adoption. It 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 leads analytics planning and delivery across brands, setting priorities, allocating team and partner resources, managing budgets, and keeping stakeholders and the Executive Director informed about progress, risks, and trade-offs. It guides patient, provider, and account analytics across demand, market share, patient journeys, segmentation, targeting, launch planning, and performance measurement, while ensuring appropriate methods, quality review, and clear communication of data limitations. The Senior Director identifies valuable AI use cases and works with business and technology partners to introduce approved tools into Analytics and brand workflows. The role leads AI adoption change management, including stakeholder engagement, training, and coaching, and addresses barriers while assessing usage, output quality, and business value with human review, data privacy, and compliance safeguards. The position develops integrated plans and recommendations with Market Research, Forecasting, Competitive Intelligence, Data Science, and Field Excellence; leads working forums and follow-through for cross-functional initiatives; and owns the final storyline and recommendations for key deliverables. It personally shapes interpretation and business implications and communicates clearly with senior leaders. The role also develops an agile, adaptable, and inclusive team through coaching, feedback, clear expectations, curiosity, and experimentation while balancing pace with analytical quality and planning.

Requirements

Doctorate degree and 4 years of analytics and/or reporting experience; or a master’s degree and 8 years of analytics and/or reporting experience; or a bachelor’s degree and 10 years of analytics and/or reporting experience.
4 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the 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.
An agile, adaptable, and hands-on leadership style, able 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.
A 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 the business questions Analytics should address, identify growth opportunities, and guide commercial decisions.
Lead Analytics planning and delivery across brands; set priorities, allocate team and partner resources, and manage budgets.
Keep stakeholders and the Executive Director informed of 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, and coaching; address barriers and assess usage, output quality, and business value with appropriate human review, data 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 and quality review, and clearly communicate 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 clearly 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.