Director, US and Global Forecasting and Analytics - Infectious Disease

Director, US and Global Forecasting and Analytics - Infectious Disease (ID)
Wilmington, DE
Global Insights, Analytics & Forecasting, BBU
Hybrid Work - on average 3 days a week from office

The Director is a senior commercial insights leader responsible for US and global demand forecasting and analytics across the Infectious Disease portfolio. The role is predominantly forecast-focused, serving as the US and global 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 the effective deployment of analytical resources and continuous evolution of forecasting and insight capabilities within ID. 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 infectious disease assets.

What you'll do

US and Global Forecasting Leadership (Core Accountability)

• Lead US and global short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for ID 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 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 ID forecasting community.

Essential for the role

• Bachelor's degree in a quantitative, scientific, or business-related field, such as Statistics, Economics, Mathematics, Engineering, or Computer/Data Science.

• 4+ years' experience in US and global pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets.

• Hands-on model ownership experience, including 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, such as IQVIA, claims, epidemiology, RWD/RWE, and primary research, into coherent, decision-grade forecasts.

• Demonstrated forecast governance and model risk discipline, including traceable assumptions, documentation, and clear explanations.

• Strong understanding of US market access and payer dynamics and how they impact demand, including coverage, contracting, channel, and policy.

• Ability to translate complex analysis into clear, executive-ready insights, options, and recommendations.

• Strong commercial competence across key demand levers, including positioning, adoption, competitive dynamics, and lifecycle events.

Desirable for the role

• Advanced degree, such as MBA, MS, or PhD in Statistics, Economics, Decision Sciences, Data Science, or a related