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Director, US Forecasting & Analytics– Vaccines & Immune Therapies

Job in Wilmington, New Castle County, Delaware, 19894, USA
Listing for: AstraZeneca GmbH
Full Time, Part Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Director, US Forecasting & Analytics – Vaccines & Immune Therapies (V&I)

Wilmington, DE

Global Insights, Analytics & Forecasting, BBU

Hybrid Work- on average 3 days a week from office

The Director, US Forecasting & Analytics – Vaccines & Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams. The role also includes people leadership, vendor management, and forecasting-adjacent analytics leadership to ensure the 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. This position plays 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.

What you'll do 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 advanced 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
Essential for the role
  • Bachelor’s degree in a quantitative, scientific, or business-related field required (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
  • Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods
  • Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively 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)
  • Exceptional communication: translates complex analysis into clear,…
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