Associate Director, Associate Director, Forecasting, US & WW Pipeline Immunology

Position Summary The Associate Director, Forecasting, US & WW Pipeline Immunology, independently develops, maintains, and delivers forecasts for one or more therapeutic areas to inform brand strategy, enterprise planning cycles, and cross-functional decision-making. Key Responsibilities Independently lead end-to-end forecasting for assigned brands/therapeutic areas using transparent assumptions. Integrate market research, competitive intelligence, and chart audits to strengthen assumptions and contextualize 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) with calibration, documentation, and enterprise standard alignment. Conduct scenario analyses and sensitivity assessments to identify uncertainty drivers. Provide feedback to Forecasting Transformation, Data Science, and BI&T teams to improve forecasting logic, data pipelines, and assumptions. Ensure consistency of forecasting logic across therapeutic areas and planning cycles. Partner with Finance, MAx, Commercial, Pricing, Medical, and Worldwide teams to align assumptions and present a unified forecasting narrative. Explain forecast drivers, risks, and opportunities in cross-functional reviews from an unbiased perspective. Ensure forecasts reflect real-time market dynamics, competitive signals, customer behavior, access changes, and operational considerations. Support enterprise planning cycles (P-cycles, Budget, LTFP) with timely and accurate inputs. Maintain quality control across datasets, assumptions, model logic, and outputs; ensure documentation, audit readiness, and reproducibility. Identify opportunities to streamline forecasting tools, templates, and processes. Assist with model calibration/testing with Data Science, BI&T, and Forecasting Transformation teams. Provide informal mentorship/day-to-day guidance to analysts. Key Qualifications, Skills & Experience 5+ years 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. Python or comparable analytical tools (preferred, not required). Strong data synthesis into clear, actionable insights. Excellent communication/data-storytelling skills; able to present to cross-functional partners. Ability to manage ambiguity in a fast-paced environment; structured problem-solving. Commitment to rigorous quality control, model accuracy, and methodological transparency. Intellectual curiosity, adaptability, and enthusiasm for AI-first forecasting. Benefits Health Coverage: medical, pharmacy, dental, vision. Wellbeing support programs (e.g., Well-Being Account, Living Life Better, EAP). Financial wellbeing/protection (e.g., 401(k), short-/long-term disability, life and accident insurance, supplemental health, business travel protection, identity theft benefit, legal support, survivor support). Paid Time Off (including flexible time off for US Exempt employees and paid vacation/holidays for certain locations). Additional time off may include paid sick time, volunteer days, summer hours flexibility, leaves of absence, and annual Global Shutdown. Work Authorization/On-site Protocol Site-essential: 100% shifts onsite. Site-by-design: may qualify for hybrid with at least 50% onsite. Field-based/remote-by-design: must be able to travel to visit customers/patients/partners and attend meetings as directed. #J-18808-Ljbffr