Director, Obesity Intelligence & Analytics – Field Analytics

Amgen•Thousand Oaks, CA

2d•Hybrid

About The Position

The Director, Obesity Intelligence & Analytics – Field Analytics leads the development and delivery of field-facing analytics that support commercial strategy and execution across Amgen’s obesity business. The role establishes the field analytics strategy, capabilities, operating model, priorities, and roadmap, translating national performance and strategy into actionable insights at regional, territory, account, and local-market levels. It also supports launch readiness, rollout, execution, and post-launch optimization through performance frameworks, KPIs, dashboards, reporting, benchmarks, and early indicators. The Director partners with Obesity Commercial Leadership, Sales Leadership, Marketing, Market Access, Field Excellence, Operations, and Commercial Data & Analytics teams. The role integrates internal and external data to assess local market dynamics, customer engagement, access, payer and patient opportunities, competitive conditions, adoption, and field activity. It establishes analytical standards and governance, identifies trends and execution gaps, and turns findings into prioritized recommendations for commercial and field leaders. The position also leads cross-functional strategic initiatives, supports adoption and ongoing improvement of field analytics, and builds, develops, and coaches a high-performing analytics team. It 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 master’s degree and 8 years of such experience; OR bachelor’s degree and 10 years of such experience.
At least 4 years of experience directly managing people and/or leading teams, projects, or programs, or directing resource allocation. This experience may overlap with the required technical experience.

Nice To Haves

Experience developing national, regional, territory, account, and/or local-market analytics 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 develop actionable recommendations.
Ability to communicate sophisticated analytical findings clearly and compellingly to senior leaders and field teams.
Experience introducing analytics 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 communicating insights, recommendations, risks, and opportunities to senior leadership.

Responsibilities

Lead the Obesity business field analytics strategy, including capabilities, operating model, priorities, and roadmap.
Develop and scale subnational analytics that translate national performance into regional, territory, account, and local-market insights.
Explain performance drivers, opportunities, risks, and execution gaps to field and commercial leaders, and recommend actions to improve results.
Lead analytics for field rollout and launch readiness, including performance frameworks, KPIs, dashboards, reporting, benchmarks, and early indicators.
Partner with field leadership to define analytical questions and insights needed for deployment, prioritization, resource allocation, and execution.
Integrate internal and external customer, account, access, payer, patient, competitive, and field activity data to assess local market dynamics.
Develop frameworks to identify 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.
Partner with Field Excellence and Sales Leadership to roll out, communicate, train, drive adoption of, and optimize new analytics and capabilities.
Ensure field-facing analytics are intuitive, actionable, scalable, and integrated into field workflows and decision-making.
Lead or co-lead initiatives in 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 field analytics standards and governance, including metric definitions, analytical methodologies, performance 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.
Measure adoption and effectiveness of field-facing analytics and improve tools and insights based on user feedback and business impact.

Benefits

Health and welfare plans for staff and eligible dependents.
Retirement and savings plans with company contributions.
Medical, dental, and vision coverage.
Life and disability insurance.
Flexible spending accounts.
Discretionary annual bonus program, or sales-based incentive plan for field sales representatives.
Stock-based long-term incentives.
Award-winning time-off plans.
Flexible work models where possible.
Career development opportunities.