Manager, Demand Forecasting & Supply Chain Analytics

Manager, Demand Forecasting & Supply Chain Analytics Responsibilities

• Work with business stakeholders to address priority demand forecasting and supply chain analytics questions (from problem identification through hypothesis testing and presenting findings to leadership).
• Develop and maintain forecasting and decision-analysis models (predictive and prescriptive analytics across the supply chain), leveraging machine learning, statistical, and quantitative methods.
• Design, develop, implement, and maintain analytics tools using best practices for analytics Dev Ops; proactively manage planned and ad hoc analytics requests.
• Operationalize, interpret, and maintain models using MLOps and analytics reporting best practices.
• Strengthen partnerships across GPS Analytics and GPS stakeholders; collaborate with Commercial Analytics and other BI&T/Data Science groups and cross-functional partners (e.g., Commercial, Procurement, Finance).
• Ensure analytics deliverables, standards, quality, and timeliness; communicate model limitations.

• Bachelor’s degree in business analytics, data science, engineering, finance, or other quantitative field.
• Experience with applied machine learning, statistical models, time-series modeling, and/or quantitative forecasting.
• Production/operational experience with SQL, Python and/or R; large datasets; data architecture/database concepts; version control.
• Experience building dashboards (Power BI or Tableau).
• Predictive modeling and MLOps; probabilistic methods (Monte Carlo, Bayesian methods).
• Experience with major GPS applications (SAP, LIMS, Infinity, MES, Aera).
• Strong critical thinking and communication/collaboration in a matrixed organization.

• Life sciences/pharma experience;
  Generative/Agentic AI experience.

• Health coverage (medical, pharmacy, dental, vision); wellbeing programs; 401(k) and protection benefits (e.g., disability, life/accident insurance).