Global Program Leader overseeing drug development and commercialization strategies for oncology. Engaging cross - functional teams to achieve ambitious portfolio objectives in patient - focused research.
About the role
- Director managing forecasting processes for Neuroscience brands at Bristol Myers Squibb. Leading a cross-functional team to integrate insights and deliver accurate forecasts.
Responsibilities
- Independently lead the end‑to‑end forecasting process for assigned Neuroscience brands, delivering accurate, objective output grounded in transparent 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 with structured, analytically rigorous projections.
- 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 to highlight drivers of uncertainty and enable strategic discussions.
- Provide feedback to Forecasting Transformation, Data Science, and BI&T teams to improve forecasting logic, data pipelines, and assumption structures.
- Ensure consistency in forecasting logic across therapeutic areas and planning cycles to support broader enterprise alignment.
- Partner with Finance, MAx, Commercial, Pricing, Medical, and Worldwide teams to align assumptions and ensure a unified forecasting narrative.
- Participate in cross‑functional reviews to explain forecast drivers, risks, and opportunities, providing an unbiased point of view.
- Ensure forecasts reflect real‑time market dynamics, competitive signals, customer behavior, access changes, and operational considerations.
- Support enterprise planning cycles (P‑cycles, Budget, LTFP) by providing timely and accurate inputs.
- Maintain rigorous quality control across datasets, assumptions, model logic, and outputs.
- Ensure transparency, audit readiness, and reproducibility of forecasting deliverables through strong documentation and consistent structure.
- Identify opportunities to streamline tools, templates, and processes to enhance clarity and efficiency.
- Support adherence to standardized forecasting practices and enterprise model‑risk guidelines.
- Partner with Data Science, BI&T, and Forecasting Transformation teams to assist with model calibration, testing of new model components, and alignment with existing methodologies.
- Contribute to capability building by sharing best practices, structured approaches, and high‑quality forecasting principles with peers.
- Provide informal mentorship and day‑to‑day guidance to analysts and senior analysts, supporting capability development within the forecasting community.
- Model structured thinking, data integrity, intellectual curiosity, and an enterprise‑minded approach to decision support.
- Foster strong collaborative relationships and contribute to a culture of transparency, innovation, and continuous improvement.
Requirements
- 8+ years of experience in pharmaceutical forecasting, commercial analytics, or related quantitative fields.
- Bachelor’s degree required.
- Proficiency in forecasting methodologies, scenario modeling, and use of 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 to support model calibration or analytical enhancements (preferred, not required).
- Strong ability to synthesize complex data into clear, actionable insights.
- Excellent communication and data‑storytelling skills, with the ability to present clearly to cross‑functional partners.
- Ability to operate in a dynamic environment, manage ambiguity, and apply structured problem‑solving.
- Demonstrated commitment to rigorous quality control, model accuracy, and methodological transparency.
- Intellectual curiosity, adaptability, and enthusiasm for embedding AI‑first thinking into forecasting capabilities.
Benefits
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, 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.
- Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
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