Sr. Director, Forecasting Pipeline, Oncology
Bristol Myers Squibb
2 months ago
Remote friendly (Lawrence, NJ)
United States
Operations
Position Summary
The Senior Director, Forecasting / Sr. Director, Pipeline, Oncology is an enterprise leader setting strategy, standards, and vision for forecasting across brands/therapeutic areas—advancing AI-first forecasting platforms and ensuring decision-useful, accurate, transparent outputs across planning horizons.
Key Responsibilities
- Define and steward enterprise forecasting strategy, standards, and common assumptions frameworks.
- Lead portfolio scenario ecosystems (1-, 3-, 10-year) for planning/budgeting/LTFP/strategic reviews.
- Oversee demand, patient flow, and net sales forecasting frameworks; integrate gross demand, GTN, pipeline/inventory, and net sales.
- Guide long-range projections and sensitivity/what-if constructs for portfolio strategy, investment trade-offs, and BD evaluations.
- Champion AI-first modular forecasting platforms; ensure model governance, validation, and calibration with audit-ready documentation.
- Drive unified forecasting assumptions across Commercial, Finance, MAx, Medical, Pricing, and regions; synchronize with Supply/GPS constraints.
- Provide strategic direction for platform roadmap; sponsor data quality/pipelines and reusable assets.
- Define quality controls, documentation standards, change control, KPIs/OKRs, and resource/vendor planning.
- Lead and develop multi-level teams; build succession depth and coach leaders in assumption discipline and executive storytelling.
Qualifications / Required-Preferred Skills
- 9+ years in pharmaceutical forecasting/commercial analytics/related quantitative fields; global experience preferred.
- Bachelor’s degree required; advanced degree preferred.
- Expertise in forecasting methodologies (demand, patient flow, net sales), long-range planning, and portfolio-scale scenario/sensitivity design.
- Proven leadership of multi-level teams; influence with VP+ stakeholders.
- Experience overseeing AI-enabled/algorithmic forecasting ecosystems; familiarity with Python or similar languages.
- Change leadership, cross-functional alignment, and strong executive communication/data storytelling.
Benefits (explicitly listed)
- Health coverage (medical/pharmacy/dental/vision); wellbeing support (EAP, wellbeing programs); financial protection (401(k), disability, life insurance, etc.).
- Work-life: paid time off (flexible time off or paid vacation by location) and 11 paid national holidays (per location).
The Senior Director, Forecasting / Sr. Director, Pipeline, Oncology is an enterprise leader setting strategy, standards, and vision for forecasting across brands/therapeutic areas—advancing AI-first forecasting platforms and ensuring decision-useful, accurate, transparent outputs across planning horizons.
Key Responsibilities
- Define and steward enterprise forecasting strategy, standards, and common assumptions frameworks.
- Lead portfolio scenario ecosystems (1-, 3-, 10-year) for planning/budgeting/LTFP/strategic reviews.
- Oversee demand, patient flow, and net sales forecasting frameworks; integrate gross demand, GTN, pipeline/inventory, and net sales.
- Guide long-range projections and sensitivity/what-if constructs for portfolio strategy, investment trade-offs, and BD evaluations.
- Champion AI-first modular forecasting platforms; ensure model governance, validation, and calibration with audit-ready documentation.
- Drive unified forecasting assumptions across Commercial, Finance, MAx, Medical, Pricing, and regions; synchronize with Supply/GPS constraints.
- Provide strategic direction for platform roadmap; sponsor data quality/pipelines and reusable assets.
- Define quality controls, documentation standards, change control, KPIs/OKRs, and resource/vendor planning.
- Lead and develop multi-level teams; build succession depth and coach leaders in assumption discipline and executive storytelling.
Qualifications / Required-Preferred Skills
- 9+ years in pharmaceutical forecasting/commercial analytics/related quantitative fields; global experience preferred.
- Bachelor’s degree required; advanced degree preferred.
- Expertise in forecasting methodologies (demand, patient flow, net sales), long-range planning, and portfolio-scale scenario/sensitivity design.
- Proven leadership of multi-level teams; influence with VP+ stakeholders.
- Experience overseeing AI-enabled/algorithmic forecasting ecosystems; familiarity with Python or similar languages.
- Change leadership, cross-functional alignment, and strong executive communication/data storytelling.
Benefits (explicitly listed)
- Health coverage (medical/pharmacy/dental/vision); wellbeing support (EAP, wellbeing programs); financial protection (401(k), disability, life insurance, etc.).
- Work-life: paid time off (flexible time off or paid vacation by location) and 11 paid national holidays (per location).