Key Responsibilities:
- Develop/manage short- and long-range U.S. forecasts for in-line and pipeline products with clear assumptions and scenario ranges.
- Lead U.S. forecast transition and launch-readiness planning for assets approaching commercialization (~within two years of expected U.S. launch).
- Partner with global forecasting teams to translate early-stage assumptions (market models, epidemiology, patient flow, competitive context, evidence expectations, uncertainties) into U.S. commercial planning assumptions.
- Coordinate U.S. strategic planning timelines, deliverables, assumption-gathering, cross-functional inputs, and consolidated planning materials.
- Track in-market performance vs. forecast for recently launched products; identify variance drivers and update forecasts, assumptions, and recommendations.
- Maintain forecast governance (assumption documentation, version control, traceability, source-of-truth alignment) and support dashboards, trackers, and reporting automation.
- Collaborate with Analytics/Decision Support, Data/Technology, BIS, Finance, and Market Access to define reporting requirements and build scalable reporting structures.
- Synthesize primary/secondary research, competitive intelligence, market access inputs, Medical perspective, and U.S. feedback into planning implications.
- Serve as subject matter expert for forecasting/analysis data sets (e.g., epidemiology, claims, EHR, longitudinal patient data).
Qualifications:
- Bachelorβs degree in business/scientific/quantitative/technical or related field (advanced degree preferred).
- 8β10+ years in pharma/biotech with expertise in forecasting, market insights, commercial analytics, strategic/launch planning, pipeline transition, or decision support.
- Strong pharmaceutical commercialization planning knowledge (patient flow, epidemiology, market sizing, access, competition, launch readiness).
- Strong analytics: forecast models, dashboarding, data visualization, Excel/PowerPoint, Power BI.
- Experience with medical/pharmacy claims and longitudinal patient data (e.g., IQVIA LAAD/NPA).
- Excellent communication/presentation and ability to synthesize complex qualitative/quantitative inputs into recommendations.