Position Summary
The Associate Director, Forecasting, Neuroscience, independently develops, maintains, and delivers forecasts for one or more therapeutic areas to inform brand strategy, enterprise planning cycles, and cross-functional decision-making. Focus is on hands-on model execution, rigorous quality control, and AI-first forecasting tools through calibration and structured improvements.
Key Responsibilities
- Independently lead the end-to-end forecasting process for assigned brands or therapeutic areas with transparent, evidence-based assumptions.
- Integrate insights from market research, competitive intelligence, and chart audits to strengthen assumptions and contextualize forecast outcomes.
- Support short-term (1- and 3-year) and long-range (10-year) forecasting cycles.
- Translate complex business questions into structured forecasting analyses and scenario plans.
- Develop, maintain, and execute AI-first forecasting models (Excel-based, algorithmic, or data-enabled), ensuring calibration, documentation, and alignment with enterprise standards.
- Conduct scenario analyses and sensitivity assessments.
- Provide feedback to Forecasting Transformation, Data Science, and BI&T teams to improve forecasting logic, data pipelines, and assumption structures.
- Ensure forecasting logic consistency across therapeutic areas and planning cycles.
- Partner with Finance, MAx, Commercial, Pricing, Medical, and Worldwide teams; participate in cross-functional reviews; provide an unbiased point of view.
- Maintain quality control and audit-ready, reproducible deliverables via strong documentation; support standardized forecasting practices and model-risk guidelines.
- Provide informal mentorship and day-to-day guidance to analysts.
Key Qualifications, Skills & Experience
- 5+ years of experience in pharmaceutical forecasting, commercial analytics, or related quantitative fields.
- Bachelorβs degree required.
- Proficiency in forecasting methodologies, scenario modeling, and pharmaceutical secondary data (e.g., IQVIA, Symphony).
- Experience developing or using Excel-based, algorithmic, or AI-enabled forecast models.
- Familiarity with Python or comparable analytical tools (preferred, not required).
- Strong ability to synthesize complex data into clear, actionable insights.
- Excellent communication/data-storytelling skills for cross-functional partners.
- Ability to operate in a dynamic environment, manage ambiguity, and use structured problem-solving.
- Commitment to rigorous quality control, model accuracy, and methodological transparency.
- Intellectual curiosity and enthusiasm for AI-first forecasting.
Benefits (explicitly stated)
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: BMS Well-Being Account, BMS Living Life Better, Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k), short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
- Paid Time Off (flexible time off/unlimited for US Exempt; annual paid vacation and holidays for certain locations/roles); additional time off based on eligibility (e.g., paid sick time, volunteer days, leaves of absence, Global Shutdown).