Associate Director, Forecasting – Systemic Mastocytosis; SM

Main Responsibilities:

• Collaborate with Commercial, Finance, and cross-functional partners to develop, document, and communicate accurate patient/volume/revenue forecasts for strategic planning & budget cycles, bi-annual medium-term updates, and monthly rolling forecast updates.
• Coordinate forecast deliverables and harmonize across assets/functions with Finance and forecasters in other therapeutic areas.
• Provide end-of-month closing deliverables (price/volume and demand/inventory analyses) with Analytics & Finance.
• Provide monthly updates to Commercial leadership on performance and near-term forecast outlook, integrating actuals, analytics, market research, and other inputs.
• Support forecast model enhancements for in-line and launch products (e.g., segmentation, patient flow).
• Partner with Market Research to design studies that generate key forecast inputs (e.g., demand studies/conjoint).
• Partner with Finance and Market Access to incorporate GTN and access assumptions, conduct payer mix analyses, and generate price/volume waterfalls.
• Pressure-test and refine assumptions using analogue analyses and external forecasts (e.g., syndicated/analyst reports).
• Align US forecast deliverables with Global guidance and integrate with Global aggregation.
• Work with Finance and Demand Planning to deliver the appropriate forecast by SKU for monthly supply chain planning.
• Conduct ad-hoc analyses to assess initiative value and market event risks using forecast models.
• Review key model inputs with Data Management/Analytics and external data providers to ensure accuracy.
• Coach junior team members on onboarding, upskilling, and Sanofi processes/data.

• Bachelor’s degree required; advanced degree (MBA, MS, MD, PhD) preferred.
• 3+ years in pharma/biotech analytics, forecasting, and/or market research (consulting and/or advanced degrees may substitute).
• Strong business acumen; excellent communication/presentation skills.
• Knowledge of pharma data sources (e.g., IQVIA patient-level data, syndicated reports, specialty pharmacy data) and payer/health insurance environment.
• Excellent project management; ability to balance multiple priorities in a matrixed environment.

• Experience in rare disease, oncology, or hematology.
• Hands-on experience building/maintaining Excel-based forecast models.
• Programming: VBA, SQL, R, Python (or similar).
• Cloud data warehouse/analytics platforms (e.g., Snowflake, Databricks).