Director, Obesity Intelligence & Analytics – Field Analytics

Amgen•Thousand Oaks, CA
•$196,610 - $266,002•Hybrid

About The Position

The Director, Obesity Intelligence & Analytics – Field Analytics will lead the development and delivery of field-facing analytics that support commercial decision-making and execution across Amgen’s obesity business. The role establishes the strategy, capabilities, operating model, priorities, and roadmap for field analytics, translating national strategy and performance into actionable insights at the regional, territory, account, and local-market levels. It supports field execution, commercial growth, launch readiness, rollout, and ongoing optimization in a dynamic market. The Director will integrate internal and external data—including customer, account, access, payer, patient, competitive, and field activity data—to explain performance drivers, identify opportunities and risks, diagnose execution gaps, and recommend actions. The role develops analytical frameworks, KPIs, benchmarks, dashboards, reporting, and early indicators; supports initiatives such as launch analytics, customer targeting, segmentation, field deployment, territory design, and performance measurement; and establishes standards and governance for field analytics. The Director partners with commercial and field leaders and cross-functional teams to introduce and improve analytics in field workflows, measure adoption and effectiveness, and ensure insights are clear, actionable, and scalable. The position also leads, develops, and coaches an analytics team and advances the organization’s capabilities by monitoring emerging data sources, technologies, analytical methods, and industry practices. This is a flexible commuter role based at the Thousand Oaks, California office, with on-site work required at least three days per week.

Requirements

  • Doctorate degree and 4 years of commercial analytics, sales analytics, field analytics, business analytics, or related experience; or a master’s degree and 8 years of such experience; or a bachelor’s degree and 10 years of such experience.
  • At least 4 years of experience directly managing people and/or leadership experience leading teams, projects, or programs, or directing the allocation of resources. This experience may run concurrently with the required technical experience.
  • Demonstrated experience developing analytics at the national, regional, territory, account, and/or local-market level and translating insights into field action.
  • Experience supporting commercial launches, including launch readiness, KPI development, early performance monitoring, and field execution optimization.
  • Strong understanding of pharmaceutical or biotechnology commercial models, customer dynamics, field execution, market access, and performance drivers.
  • Ability to connect business strategy with analytical priorities and develop analytics that materially influence commercial decisions.
  • Ability to structure ambiguous business questions, integrate complex datasets, diagnose performance drivers, and translate findings into actionable recommendations.
  • Ability to communicate sophisticated analytical findings simply and compellingly so senior leaders and field teams can act.
  • Experience introducing analytical tools, dashboards, insights, or capabilities to field organizations and driving rollout and adoption.
  • Ability to influence and lead across Sales, Marketing, Market Access, Field Excellence, Operations, Data & Analytics, and other stakeholders.
  • Experience building, developing, and coaching high-performing analytics teams.
  • Ability to identify and implement analytical methodologies, data sources, technologies, and approaches that improve decision-making.
  • Ability to manage multiple high-priority initiatives, establish milestones and accountability, and deliver in a fast-moving environment.
  • Strong written, verbal, and presentation skills, including the ability to communicate insights, recommendations, risks, and opportunities to senior leadership.

Responsibilities

  • Lead the field analytics strategy for the Obesity business, including the analytical capabilities, operating model, priorities, and roadmap needed to support field execution and commercial growth.
  • Develop and scale subnational analytics that translate national performance into actionable regional, territory, account, and local-market insights.
  • Explain performance drivers, opportunities, risks, and execution gaps to field and commercial leadership, and recommend actions to improve business performance.
  • Lead analytics for field rollout and launch readiness, including performance frameworks, KPIs, dashboards, reporting, benchmarks, and early indicators of launch execution.
  • Partner with field leadership to define analytical questions and insights supporting deployment, prioritization, resource allocation, and execution.
  • Integrate internal and external customer, account, access, payer, patient, competitive, and field activity data to develop a comprehensive view of local market dynamics.
  • Develop frameworks to identify and quantify geographic variation, market opportunity, adoption patterns, customer dynamics, and barriers to growth.
  • Identify emerging subnational trends and translate them into targeted recommendations and course-correction opportunities.
  • Support field implementation of analytics and capabilities through rollout, communication, training, adoption, and ongoing optimization with Field Excellence and Sales Leadership.
  • Ensure field-facing analytics are intuitive, actionable, scalable, and integrated into field workflows and decision-making.
  • Lead or co-lead initiatives involving launch analytics, customer targeting, segmentation, field deployment, territory design, performance measurement, and local-market opportunity identification.
  • Align analytical methodologies, data foundations, reporting, and insight generation with broader Commercial Data & Analytics teams.
  • Establish governance and standards for field analytics, including metric definitions, methodologies, benchmarks, and reporting cadence.
  • Monitor business performance and field execution, identify issues and opportunities, and recommend actions to commercial and field leadership.
  • Build partnerships across Sales, Marketing, Market Access, Field Excellence, Forecasting, Data Science, Data Strategy, and other functions.
  • Lead, develop, and coach a high-performing analytics team and foster curiosity, innovation, business partnership, and analytical excellence.
  • Monitor emerging analytical capabilities, data sources, technologies, and industry practices to advance the Obesity Intelligence & Analytics organization.
  • Create integrated national-to-subnational performance views that help leadership understand what is happening, where and why it is happening, and what actions should follow.
  • Identify regional, territory, account, and local-market opportunities through segmentation, benchmarking, opportunity sizing, and performance diagnostics.
  • Provide field leaders with timely insights into customer engagement, adoption, access, competitive dynamics, patient opportunity, and execution effectiveness.
  • Measure adoption and effectiveness of field-facing analytics and improve tools and insights based on user feedback and business impact.
  • Develop scalable approaches to subnational analytics and lead cross-functional analytical initiatives addressing high-priority business questions.

Benefits

  • Retirement and Savings Plan with generous company contributions
  • Group medical coverage
  • Dental coverage
  • Vision coverage
  • Life insurance
  • Disability insurance
  • Flexible spending accounts
  • Discretionary annual bonus program
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible
  • Career development opportunities
  • Work/life balance support
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