Senior Manager, AI Policy and Channel

Role Overview Senior Manager, Artificial Intelligence, Policy and Channel (AIPC): Hands-on technical leader developing, deploying, and maintaining ML/data science pipelines and products to improve forecast accuracy, net revenue visibility, and contracting strategies across BMS’s portfolio. Key Responsibilities Design, develop, and deploy end-to-end ML pipelines for Market Access, Pricing, and Value Demonstration. Automate data workflows (e.g., rebates, contracts, government policies, channel dynamics). Build and optimize models (time series forecasting, Monte Carlo simulations, supervised/unsupervised learning) for real-time decisions. Ensure reliability (monitoring, version control), stay current on ML/AI (NLP, LLMs, agentic AI). Collaborate cross-functionally; gather requirements; translate technical results into actionable business strategies. Plan/integrate/roll out solutions (e.g., Anaplan); conduct post-deployment impact analysis; iterate with feedback. Qualifications Bachelor’s degree (BA/BS) in a quantitative field (required). Preferred: MS or Ph.D. in related fields. 3+ years hands-on ML pipeline development/deployment solving real business problems. Required/Preferred Skills Statistical methods; ML with TensorFlow/PyTorch/scikit-learn. Forecasting (time series) and Monte Carlo. Python required (R a plus). MLOps/cloud (CI/CD, Git/GitHub, AWS/Azure, Airflow/Dagster). Preferred: NLP, LLM training/fine-tuning, agentic AI frameworks. Benefits (explicit) Health coverage (medical, pharmacy, dental, vision); wellbeing programs; 401(k), disability and life insurance. Paid time off and flexible time-off programs (eligibility-based). Application Apply if interested even if not a perfect match. #J-18808-Ljbffr