US Forecasting Leader – R&I

Accountabilities

• US Forecast Ownership: Lead the development and delivery of robust US forecasts across annual planning, long-range planning, forecast updates and business reviews, ensuring clarity of drivers and confidence ranges.
• Market Subject-Matter Leadership: Serve as the forecasting authority for prioritized markets and disease areas, bringing evidence-based viewpoints that shape commercial strategy.
• Patient-based Modeling: Build patient-based models in Excel using credible assumptions synthesized from primary and secondary sources and benchmarked to relevant analogs; quantify risks, opportunities and uncertainty.
• Scenario Planning and Storytelling: Develop scenarios that reflect business ambition and constraints; distill complex analyses into compelling narratives for senior commercial, medical and finance audiences.
• Performance Tracking and Action: Monitor actuals versus forecast, diagnose variances, and recommend updates or targeted interventions to improve performance.
• Customer Insight Advocacy: Champion the use of local customer insights in strategic and operational decisions, ensuring forecasts reflect real market dynamics.
• Cross-functional Alignment: Facilitate forecast reviews and assumption-alignment sessions; document decisions, dissenting views, risks and follow-ups to maintain momentum and governance.
• Capability Transformation: Identify, develop and embed new forecasting and analytics capabilities; drive adoption and integration across teams to elevate decision quality.
• AI-enabled Forecasting and Automation: Validate and scale generative AI and advanced automation to improve forecasting efficiency and scenario agility while maintaining rigorous governance and compliance.
• Continuous Improvement Culture: Promote learning, testing and rapid deployment of new methods; mentor teams to raise standards and speed without sacrificing quality.
• External Scanning: Track emerging analytics and forecasting practices within and beyond pharma to bring differentiated advantages to the organization.

Essential Skills/Experience

• 8+ years of pharmaceutical industry experience including revenue forecasting utilizing epidemiology-based methodologies, claims, EHR/EMR, and other patient-level datasets, sales data analysis and qualitative/quantitative primary market research.
• Proficiency in accessing, analyzing, and interpreting large longitudinal patient-level datasets, including open and closed medical claims, EHR/EMR data, IQVIA prescription and sales data, and other syndicated data sources.
• MS Office with advanced proficiency in Microsoft Excel and PowerPoint.
• Bachelor's degree from an accredited college or university.

Desirable Skills/Experience

• Advanced modeling skills using Visual Basic, Power BI, SQL + R or Python are preferred.
• Excellent communication and influencing skills, combined with strong leadership and interpersonal skills and demonstrated ability to work with senior business leaders and cross-functional business partners.
• Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership teams.
• Ability to manage a diverse range of simultaneous projects, timelines, and priorities with both internal stakeholders and external vendors.
• An advanced degree is preferred (Master's, MBA, or PhD).