Director, US Forecasting & Analytics– Vaccines & Immune Therapies

About the Role

The Director is a senior commercial insights leader responsible for US demand forecasting and analytics across the Vaccines and Immune Therapies portfolio. This predominantly forecast-focused role serves as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams. The position also includes vendor management and forecasting-adjacent analytics leadership to ensure effective deployment of analytical resources and continuous evolution of forecasting and insight capabilities within V&I. Time allocation may vary by business cycle and portfolio priorities.

You'll play a critical role in shaping commercial expectations, risk and opportunity framing, and executive decision-making for in-market and late-stage pipeline vaccines and immune therapies.

Responsibilities

• US Forecasting Leadership (Core Accountability)
  • Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&I assets using robust, patient-based and market-based models
  • Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards
  • Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models
  • Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses
  • Partner closely with Finance, Market Access & Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications
  • Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives
  • Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes
• Analytics & Resource Leadership (Enablement)
  • Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning
  • Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables
  • Partner with data analytics resources, Global IA&F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches
  • Champion and identify new ways to embed AI and automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality
  • Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation
  • Contribute to the development and sharing of best practices across the V&I forecasting community

Requirements

• Essential
  • Bachelor’s degree in a quantitative, scientific, or business-related field (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science)
  • 8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets
  • Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons
  • Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision making
  • Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts
  • Knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) vs. traditional methods
  • Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner with data engineering and analytics teams
  • Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)
  • Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)
  • Ability to translate complex analysis into clear, executive-ready insights, options, and recommendations
  • Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)
• Desirable
  • Advanced degree (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related field)
  • Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies
  • Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders
  • Product perspective for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities
  • Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts

Schedule

Hybrid work schedule requiring on average 3 days a week from the office in Wilmington, DE.