Bristol Myers Squibb is seeking a Director of Pipeline Forecasting in Neuroscience to develop and deliver high-quality forecasts that support brand strategy and enterprise planning. The ideal candidate will have extensive experience in pharmaceutical forecasting and a strong analytical background, particularly in AI-enabled forecasting methodologies
Job Summary
The Director, Pipeline Forecasting, Neuroscience plays a critical role within Worldwide Commercial Excellence by independently developing, maintaining, and delivering forecasts for one or more therapeutic areas.
This role is responsible for generating high‑quality, objective forecasts that inform brand strategy, enterprise planning cycles, and cross‑functional decision‑making.
Bristol Myers Squibb offers a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Matching Summary
Match Score: 85
Bristol Myers Squibb is seeking a Director of Pipeline Forecasting in Neuroscience to develop and deliver high-quality forecasts that support brand strategy and enterprise planning. The ideal candidate will have extensive experience in pharmaceutical forecasting and a strong analytical background, particularly in AI-enabled forecasting methodologies.
Salary
Base: $197,800 - $239,681; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits
Skills & Requirements
Must-have
pharmaceutical forecasting
pipeline forecasting
neuroscience therapeutic areas
AI-first forecasting tools
cross-functional alignment
rigorous quality control
Nice-to-have
intellectually curious
fast-paced environment
structured thinking
data integrity
continuous improvement
Key Requirements
8+ years of experience
Bachelor's degree required
Proficiency in forecasting methodologies
Experience with pharmaceutical secondary data
Experience developing AI-enabled forecast models
Familiarity with Python or comparable analytical tools (preferred)