Responsibilities:
- Lead and oversee the end-to-end forecasting process for assigned brands/therapeutic areas; ensure outputs are objective, evidence-based, and aligned to brand strategy and enterprise planning.
- Integrate insight streams (competitive intelligence, market research, chart audits, policy trends, customer signals) into forecasting assumptions and narratives.
- Provide recommendations for short-term (1- and 3-year) and long-range (10-year) planning; translate ambiguous business questions into structured forecasting plans and scenarios.
- Develop and refine AI-enabled/algorithmic forecasting models with transparent assumptions and methodological consistency.
- Lead scenario planning, sensitivity analyses, long-range projections, and strategic risk/opportunity assessments.
- Partner with Finance and MAx to integrate gross demand, GTN, pipeline/inventory dynamics, and net sales into outputs.
- Collaborate cross-functionally (Finance, MAx, Commercial, Pricing, Medical, Worldwide/Regional) and present assumptions/risks/uncertainties to senior leaders.
- Maintain QC across data, assumptions, model logic, and deliverables; strengthen documentation/audit readiness.
- Mentor analysts and guide forecasting capability development.
Qualifications/Skills:
- 5+ years in pharmaceutical forecasting, commercial analytics, or related quantitative fields.
- Bachelorโs required; Masterโs preferred.
- Expertise in forecasting methodologies, scenario design, patient flow modeling, and secondary pharma data (e.g., IQVIA, Symphony).
- Python (preferred) and ability to develop/oversee AI/algorithmic or advanced Excel forecast models.
- Strong communication/data-storytelling; synthesize complex quantitative insights for senior leadership; lead cross-functional work in ambiguity.
Benefits (explicit): Health coverage; wellbeing support; 401(k), disability, life/accident insurance; paid time off (flexible time off for US exempt employees; paid vacation/holidays for certain locations), plus additional time off based on eligibility.
Application instructions:
- If interested but not a perfect match, apply anyway.