Associate Director, Pain Forecasting

Role Summary

Associate Director, Pain Forecasting. Provide forecasting support and analytics for the ongoing pain launch and future launches across North America.

Responsibilities

• Build, maintain, and continuously improve demand forecast models leveraging top-down and bottom-up approaches to provide an overall forecast and additional detail on depth and breadth of prescribing across customer segments
• Leverage all available research and analytics from within the team and cross-functionally to create and update forecasting assumptions
• Work cross-functionally to coordinate and integrate demand forecast models with gross-to-net, market access, and financial models to ensure alignment and consistency of assumptions
• Leverage forecast models to support demand and financial modeling for new opportunities under evaluation by the BU
• Ensure outputs of each forecasting period are clearly communicated to downstream processes (e.g., supply chain) and forecasting data is readily available to required stakeholders within the Pain BU
• Contribute to the advancement of forecasting capabilities at Vertex

Qualifications

• Proficiency with complex Excel forecast models, and experience integrating forecast models with other cross-functional models; experience pulling data from a data warehouse to support forecasting (e.g., SQL)
• Proficiency working with a wide array of commercial pharma data sets, including IQVIA XPONENT PlanTrak, DDD, LAAD (patient claims data)
• Experience forecasting products in large, complex markets and across both retail and hospital products
• Strong analytical and business acumen: intellectual curiosity, motivation and ability to structure problems, diagnose issues and triangulate with multiple approaches
• Experience working with analytics and forecasting leadership to evaluate and pressure-test assumptions and communicate forecasting outputs to business leadership
• Ability to quickly and thoughtfully adapt to new and evolving business and planning needs

Education

• Bachelor‚Äôs degree in a quantitative discipline required (e.g., Engineering, Statistics, Economics, Finance, Business Analytics) or equivalent experience
• 7‚Äì10 years of experience in the pharmaceutical or biotech industry, 6+ years of insights, forecasting, and/or analytics is required