Manager, Analytical AI Forecasting and Predictive Solutions

Role: Develops and supports advanced analytical, machine learning, and forecasting solutions focused on Commercial Demand within biopharma. Responsibilities: build and maintain statistical and AI forecasting models; translate business needs into analytical solutions; monitor and improve model accuracy; communicate insights to cross-functional stakeholders; contribute to best practices and experimentation; collaborate with data scientists, forecasting SMEs, and business teams to enhance forecasting methodologies. Requirements: BA/BS in a quantitative field; 2-3 years of hands-on experience in advanced analytics, data science, or pharmaceutical forecasting preferred; proficiency in Python/R, SQL, Tableau, Git, and cloud platforms (AWS/Azure); strong communication skills. Preferred: MBA or graduate degree; experience with commercial forecasting; familiarity with GxP, biopharma data, and cross-functional project management. High-Value: biopharma commercial demand forecasting, partnership with finance and commercial teams, emphasis on cross-functional collaboration, technical depth in AI/ML models. Work setup: role based on a hybrid model, location unspecified; travel requirements not specified.