Director, Forecasting

GSK•Philadelphia, PA

About The Position

In this position you will establish and maintain forecasts for defined brands and products using industry-best practices and industry-standard tools for enhanced efficiency, reliability, and governance, in close collaboration with Finance, Market Intelligence, and other functions. This role requires strong quantitative/financial modelling skills, sound methodological and conceptual understanding, and experience translating complex market and business dynamics into decision-grade scenarios and recommendations. The incumbent will be expected to communicate, influence, and drive alignment with US senior leadership on the full US Specialty forecast, including a clear point of view on the commercial business model, value drivers, key risks/opportunities, and strategic assumptions underpinning the forecast. The Director will collaborate and partner effectively with various stakeholders across the local and global enterprise, including Marketing, Insights & Analytics, Sales, Finance, Supply, Market Access, and Technology teams—leading through the matrix to define shared outcomes, clarify decision rights, and drive timely, high-conviction decisions through trust, accountability, and follow-through.

Requirements

BA/BS Degree
5+ years of professional experience of which the most recent three years at GSK or in a peer company of GSKs.
5+ years of experience with management consulting firm with focus on Forecasting, Finance, Competitive Intelligence or Analytics roles in the BioPharma industry.

Nice To Haves

Knowledge and experience with GSK U.S. Pharma’s therapeutic areas of commercialization (particularly Respiratory), Specialty (Immunology, Oncology)
Graduate degree in Business (MBA), in Science (M.Sc) (incl. Statistics, Computer Sciences and Operations Research, or in Finance/ Economics (M. Econ.) or related.
Methodological hands-on proficiency of relevant financial and analytical approaches and models
Communication and presentation skills as evidenced through experience leading senior management presentations, conference presentations, and/or publications
Experience driving process simplification and automation, with exposure to AI tools and a willingness to experiment—helping shape the future vision for connected, data-driven capabilities
Experience with managing, coaching, and developing a direct report and leading through others.
Proven and advanced collaboration skills, and cultural sensitivity.

Responsibilities

Set forecasting strategy by defining value drivers, anticipating market dynamics, and recommending trade-offs across near- and long-term horizons.
Translate analytics into concise decision stories (insight → options → recommendation → implications) and drive alignment across stakeholders
Own USC Forecast/Latest Estimate, Long-Range Forecast, and Consensus/Commercial forecasts; establish governance, version control, and decision timelines aligned to the Core Commercial Cycle (CCC)
Maintain SKU-level forecasts across the portfolio (incl. Puerto Rico), integrating cross-functional inputs and external market/competitive/policy signals
Lead monthly LE and CERPS loads; surface risks, opportunities, decision points, and trade-offs; support submissions and earnings processes with executive-ready driver narratives
Drive forecast quality using accuracy/bias metrics; diagnose drivers, lead corrective actions, and document assumptions/risks for transparent, audit-ready traceability
Deliver brand, therapeutic area, and environmental insights that inform performance, resourcing, and investment decisions
Lead launch projections; build decision-grade scenarios and sensitivities across key drivers (e.g., capacity and market access)
Track policy/regulatory and competitive changes; quantify forecast impacts; partner with Market Access and Legal/Compliance on compliant strategies and mitigations
Partner within Finance & Marketing Mix Analytics to model, visualize, and pressure-test scenarios; coach others on interpretation and limitations
Lead and develop a small forecasting team; coach performance, standardize playbooks, and scale best practices