Manager, Demand Forecasting & Supply Chain Analytics

About the role

The Manager, Demand Forecasting & Supply Chain Analytics, within the GPS (Global Product Development and Supply) Analytics team, will establish advanced demand forecasting capabilities for the Supply Chain organization and provide data science capabilities for the broader Analytics organization. This role involves managing the forecasting process, integrating new capabilities, collaborating with the Commercialization Analytics team, and working with the Supply Chain organization to contextualize forecasts into actionable insights.

Responsibilities

• Identifies and contextualizes critical business issues, embedding an objective and unbiased perspective into the business conversation.
• Drives fact-based decision making for key questions within the GPS portfolio, enabling priority business choices.
• Develops and maintains a deep understanding of GPS business priorities, meeting agreed-upon analytics deliverables and timing.
• Designs, develops, builds, implements, and maintains a broad array of business analytics and analytical tools that solve complex problems in a computationally and statistically effective manner, following best practices for analytics.
• Ensures best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization, and subject matter expertise.
• Proactively manages planned and ad hoc analytics requests, ensuring consistent quality and timeliness in delivery to business stakeholders.
• Leverages standards for the provision of analytics to support planning and decision-making processes, and utilizes appropriate escalation processes.
• Supports a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.
• Establishes a close working partnership and relationship with business stakeholders.
• Effectively partners and collaborates with other BI&T team members and cross-functional counterparts to identify and evaluate current and future analytics needs for GPS and deliver a consistent BI&T engagement model with stakeholders.
• Understands, demonstrates, and drives adherence to all BMS operating policies.

Qualifications & Experience

• Bachelor’s degree in business analytics, data science, engineering, finance, or another quantitative field. Advanced degree preferred.
• Experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting.
• Experience working with large data sets.
• Experience in basic data architecture and database concepts.
• Experience developing code in a production grade environment using version control.
• Experience building data visualizations and dashboards in PowerBI or Tableau.
• Experience building and deploying predictive models (MLOps).
• Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods.
• Experience with major GPS applications (including SAP, LIMS, Infinity, MES, Aera).
• Experience in the life sciences and/or pharmaceutical industry is a significant plus.
• Experience with Generative or Agentic AI is a significant plus.
• Strong critical thinking and problem-solving skills.
• Excellent interpersonal, collaborative, and communication skills to effectively work in a highly matrixed organization.
• Strong written and verbal communication skills.