Director, Forecasting & Analytics US PAIN

Job DescriptionGeneral Summary:Director to join the Forecasting & Analytics team in the Commercial organization, to provide quantitative and qualitative forecasting and analytical support for key commercial processes and business decisions. This individual will lead product area's revenue forecasting and analytics processes and will frequently interact with senior Vertex leadership. This individual will also be responsible for coordinating the near-term Pain revenue forecasting component of Vertex’s annual Long-Range Planning (LRP) process.Key Duties and Responsibilities:Lead the global monthly short-range latest estimate (LE) revenue forecasting process for the Pain franchise, focusing on current and following year, with the goal of accurately forecasting revenue by modeling numerous underlying demand and sales drivers.Leverage available data sets to evaluate, synthesize and regularly present performance tracking vs. forecast analytics to understand trends, support updates to the Pain forecast, and develop insights.Own, maintain, and update Pain forecasting model(s), including such activities as: update model framework and logic as needed, and ingest and apply actual sales data, competitive market data and analytics, and relevant market research-related outputs.Coordinate the near-term Pain revenue forecasting component of the annual long-range planning (LRP) process.Working collaboratively with cross functional stakeholders including but not limited to US Marketing, CA Marketing, Global Marketing, US Market Access, US Finance, Commercial Sales Operations, Marketing Science, INTL Commercial and Finance, etc.Deliver robust quantitative market assessments with clear articulation of the key drivers, sensitivities, risks and opportunities.Knowledge and Skills:Experienced in a wide range of forecasting methodologies and approaches, and continuously engaged and informed on new/emerging methods, both within and outside the biotech industry.Proficiency in complex Excel modeling, and experience analyzing and developing insights from large data sets, leveraging relevant environments and tools such as snowflake, SQL, Power BI, python, SAS, VBA, etc.Strong analytical and business acumen: intellectual curiosity, motivation and ability to structure problems, diagnose issues and triangulate with multiple approaches while keeping sight of the “big picture.”Experience working with senior leadership to support financial forecasting and analytics, and/or commercial launch planning.Ability to quickly and thoughtfully adapt to new and evolving business and planning needs.Education and Experience:Master’s degree in a quantitative discipline required (Engineering, Statistics, Economics, Finance, Science).10+ years in biotech/pharmaceuticals in a quantitative role in Commercial / Finance / Corporate Strategy / BD, and/or 6 years in a relevant consulting role (management, strategic or economic consulting) post-MBA/PhD, with meaningful biotech/pharmaceuticals and quantitative decision support experience.

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