Job Description
The Executive Director, Global Commercial Analytics- Decision Science will lead the global Decision Science capability within Global Commercial Strategy. Reporting to the Vice President, Global Commercial Analytics, this leader will build an integrated team that frames priority business decisions, translates them into analytical questions, and applies advanced analytics to inform pipeline development and to improve commercial, launch, and portfolio choices.
The Executive Director will establish common standards, methodologies, and scalable capabilities across segmentation, targeting, patient finding, resource allocation, scenario modeling, experimentation, and measurement. Working through disease-aligned Decision Science leads, this role will ensure analytics are embedded in decision-making and translated into clear recommendations and measurable business impact.
Key Duties & Responsibilities
Lead the Global Decision Science organization and capability agenda across pipeline, pre-launch, launch, lifecycle, and in-line disease areas.
Partner with GCS disease leaders and BI&A pod leads to frame priority business decisions, define analytical questions, and identify the evidence required to act.
Establish standards and methodologies for segmentation, targeting, patient finding, customer and patient analytics, resource allocation, scenario modeling, and commercial optimization.
Build advanced analytical approaches that quantify key drivers, risks, trade-offs, and likely business impact across commercial and portfolio decisions.
Lead experimentation and measurement capabilities, including test-and-learn design, causal measurement, promotional effectiveness, and assessment of whether recommendations improve outcomes.
Develop scalable decision-support solutions that combine analytical models, business rules, internal and external data, and AI-enabled capabilities.
Ensure models and recommendations are transparent, fit for purpose, appropriately validated, and grounded in strong business and market understanding.
Build reusable data assets and analytical products required for commercialization, including patient-level analyses, claims-based insights, HCP universes, and opportunity-prioritization tools.
Partner with Market Research, Forecasting, Competitive Intelligence, Portfolio Analytics, and Data Management & Capabilities to create integrated evidence and avoid fragmented analyses.
Work with regional Commercial, Medical, Value & Access, HEOR, Finance, and Digital/Data/Technology teams to align analytical approaches, data requirements, and adoption.
Translate complex analyses into clear implications, decision options, recommendations, and executive-ready narratives; constructively challenge assumptions when evidence indicates a different course.
Establish governance, prioritization, quality standards, vendor strategy, and a capability roadmap for Decision Science.
Build, develop, and retain a high-performing global team; create clear roles, career paths, technical standards, and a culture of analytical rigor, curiosity, collaboration, and accountability.
Measure the adoption, quality, efficiency, and business impact of Decision Science capabilities and continuously improve the operating model.
Required Education Level
Minimum of a Bachelor’s degree in statistics, mathematics, economics, operations research, data science, engineering, business, or a related quantitative discipline.
Advanced degree such as an M.S., Ph.D., or MBA preferred.
Required Experience
Extensive leadership experience in commercial analytics, decision science, marketing science, advanced analytics, data science, or a related field within biopharmaceuticals or another complex, data-rich industry.
Demonstrated experience translating ambiguous business questions into analytical frameworks and actionable recommendations for senior commercial leaders.
Deep expertise across several Decision Science disciplines, such as segmentation and targeting,…