Sr. Director, Commercial Forecasting & Analytics

Role Summary

A strategic enterprise leader responsible for defining, governing, and advancing the U.S. commercial forecasting and advanced analytics capability across the in-market portfolio, launch assets, and pipeline. This role serves as the enterprise authority for demand, revenue, and scenario forecasting, ensuring forecasts are strategically aligned, analytically rigorous, and decision-ready for executive leadership. As a trusted advisor to senior and executive leaders, the Senior Director shapes commercial and financial strategy by delivering high-impact insights that inform long-range planning, investment decisions, portfolio prioritization, and operational execution. This role leads a multi-layered forecasting and analytics organization, establishing scalable methodologies, governance, and best practices that enable enterprise-wide consistency, agility, and long-term value creation.

Responsibilities

• Enterprise Forecast Ownership, Strategy & Governance
  • Accountable for the integrity, credibility, and strategic relevance of the U.S. commercial forecast across all in-market brands, launch assets, and pipeline scenarios
  • Defines and governs forecasting strategy for Long-Range Planning (LRP), Annual Operating Plan (AOP), and quarterly Latest Estimate (LE) processes in close partnership with Finance and Executive Leadership
  • Establishes and enforces enterprise-wide forecasting standards, including assumptions, methodologies, data sources, and business rules to ensure transparency, consistency, auditability, and regulatory compliance
  • Oversees forecasting governance frameworks that meet internal control requirements and support executive- and Board-level decision-making
  • Provides executive leadership with clear articulation of key value drivers, risks, opportunities, uncertainties, and trade-offs, proactively shaping strategic discussions and outcomes
• Strategic Forecasting & Advanced Analytics Leadership
  • Defines the vision and multi-year roadmap for commercial forecasting and advanced analytics, ensuring alignment with enterprise strategy and long-term growth objectives.
  • Oversees the development and evolution of best-in-class forecasting models, including scenario planning, sensitivity analysis, risk-adjusted forecasting, and portfolio-level trade-off analysis
  • Drives innovation by integrating primary research, secondary data (claims, sales, specialty pharmacy), competitive intelligence, and advanced analytical techniques to enhance forecast accuracy and strategic insight
  • Champions predictive and prescriptive analytics, leveraging emerging tools and methodologies to improve decision speed, agility, and foresight
  • Actively challenges assumptions, pressure-tests scenarios, and synthesizes insights across functions to strengthen forecast confidence and executive readiness
• Executive & Enterprise Partnership
  • Acts as the primary commercial forecasting and advanced analytics advisor to Finance and a trusted strategic partner to executive leaders across Commercial, Market Access, Medical, Supply Chain, IT, and Corporate Strategy
  • Translates complex analyses into clear, concise, and actionable insights tailored for executive leadership, governance forums, and enterprise planning discussions
  • Ensures forecasting outputs are tightly integrated with brand strategy, launch sequencing, access strategy, and operational plans, with enterprise implications clearly understood
  • Embeds analytics as a core enabler of enterprise decision-making, fostering a culture of insight-led strategy and execution
• Launch, Portfolio & Lifecycle Excellence
  • Leads forecasting and analytics readiness for major launches and portfolio expansions, including uptake scenarios, early performance diagnostics, KPI frameworks, and launch risk assessments
  • Supports portfolio investment decisions, go/no-go milestones, and lifecycle optimization through rigorous scenario analysis and value-based forecasting
  • Oversees performance tracking versus forecast, identifies systemic drivers of variance, and partners with leadership to recommend strategic course corrections
  • Measures and communicates the business impact and ROI of forecasting and analytics initiatives at the enterprise level
• People Leadership, Capability Building & Operating Model
  • Leads, mentors, and develops a high-performing forecasting and advanced analytics organization, managing through multiple levels of leadership as appropriate
  • Builds sustainable organizational capability by establishing scalable processes, operating rhythms, tools, and governance models that support enterprise needs
  • Fosters a culture of strategic thinking, innovation, accountability, and continuous improvement
  • Oversees forecasting resources, external partners, and budgets to ensure efficient execution and long-term capability growth

Qualifications

• Bachelor’s degree in business, economics, statistics, mathematics, life sciences, or a related quantitative discipline required AND 15+ years of experience in pharmaceutical commercial forecasting and/or analytics, including leadership responsibility across launches and lifecycle management OR
• Master's degree AND 13+ years of related experience OR
• Extensive experience building, leading, and developing forecasting or analytics organizations required
• Core Competencies
  • Deep expertise in U.S. pharmaceutical commercial forecasting, scenario modeling, and portfolio analytics within a complex, matrixed environment
  • Strong strategic, financial, and enterprise acumen with a clear understanding of commercial, market access, and P&L dynamics
  • Proven ability to influence executive stakeholders and shape enterprise strategy through data-driven insight.
  • Exceptional communication, leadership, and change-management skills, with demonstrated success leading through ambiguity
  • Established people leader with experience building and scaling high-performing teams
• Technical & Functional Expertise
  • Recognized internal thought leader in forecasting and analytics, with experience in advanced modeling, uncertainty analysis, and multi-source data integration
  • Strong proficiency in Excel and PowerPoint; familiarity with forecasting platforms, analytics systems, and data visualization tools preferred