Director, GI Forecasting

Revolution Medicines•Redwood City, CA

4d•Hybrid

About The Position

Revolution Medicines is a commercial-stage oncology company focused on discovering, developing, and delivering medicines for patients with RAS-addicted cancers. The Director, U.S. Forecasting reports to the Senior Director, U.S. Forecasting and develops and executes forecasting models and analyses that support product strategy, performance management, and operational planning. The role focuses on short-term demand forecasts and patient-based models across U.S. oncology assets to inform manufacturing, supply chain, and commercial decisions. The Director partners with cross-functional stakeholders to align on forecast inputs, assumptions, and outputs, and delivers high-quality work on time. The position executes forecasting processes in line with the broader U.S. forecasting strategy and contributes to improvements in forecasting capabilities, tools, and data integration. The position is based at the Redwood City, California headquarters, with flexibility for remote candidates who are willing to travel regularly to the office.

Requirements

Bachelor’s degree in business, life sciences, statistics, or economics.
At least 8 years of experience in pharmaceutical, biotechnology, or consulting roles, including at least 5 years in forecasting, analytics, or demand planning.
Demonstrated experience building and maintaining patient-based and/or demand-based forecasting models supporting commercial and operational decision-making.
Strong understanding of forecasting methodologies, including patient-based modeling, scenario analysis, and data-driven forecasting approaches.
Proficiency in analytics and visualization tools such as Excel, Tableau, Power BI, or equivalent.
Experience working with secondary data sources such as IQVIA and integrating multiple data streams into forecasting models.
Strong analytical and problem-solving skills, including the ability to synthesize complex data into actionable insights.
Ability to collaborate effectively across cross-functional teams and contribute to decision-making processes.
Strong organizational skills and attention to detail, with the ability to manage multiple priorities in a fast-paced environment.
Effective communication skills, including the ability to present analyses and insights clearly to diverse stakeholders.

Nice To Haves

Advanced degree such as an MBA, MS, MPH, or PhD.
Experience working with oncology data and/or oncology markets.
Experience in oncology forecasting, including patient flow modeling and treatment dynamics.
Experience supporting product launches or pre-commercial forecasting.
Familiarity with supply chain or manufacturing planning processes.
Experience working in a fast-paced, growth-stage biotechnology organization.
Experience managing vendors or external analytics partners.

Responsibilities

Develop, maintain, and refine short-term demand forecasts across U.S. oncology products, including SKU-, dose-, and channel-level projections for supply chain and commercial planning.
Build and manage patient-based forecasting models that incorporate oncology-specific dynamics such as incidence, biomarker segmentation, lines of therapy, treatment duration, and market evolution.
Conduct scenario, sensitivity, and risk analyses to evaluate key business drivers and inform near-term decision-making.
Translate complex data, assumptions, and model outputs into actionable insights for launch planning, performance tracking, and operational readiness.
Partner with Commercial, Finance, Market Access, Medical Affairs, Supply Chain, and Manufacturing to gather inputs, validate assumptions, and align on forecast outputs.
Support production and inventory strategies with accurate and timely forecast updates and analyses.
Integrate real-world data, secondary data sources such as IQVIA, and competitive intelligence into forecasting models.
Execute forecasting activities in alignment with U.S. Forecasting strategy and methodologies established by senior leadership.
Support improvements to forecasting processes, tools, and data infrastructure, including model standardization and automation.
Document forecasting methodologies, assumptions, and data sources clearly and transparently.
Manage external vendors and data partners to ensure delivery of high-quality inputs and analyses.
Escalate key risks, assumptions, and forecast variances to senior leadership with clear summaries and recommendations.
Stay current on Revolution Medicines’ portfolio, competitive landscape, and evolving oncology market dynamics.