Sr. Manager, Commercial AI and Advanced Analytics

Working at Bristol Myers Squibb offers challenging, meaningful work that transforms patients and careers. The Sr. Manager, US Commercial AI & Advanced Analytics leads design, development, and deployment of AI‑powered commercial analytics platforms across the US pharmaceutical brand portfolio.

• Lead the Agentic AI Marketing Mix Modeling initiative and establish the Analytical Ready Data (ARD) foundational layer for downstream agentic workflows.
• Evaluate and integrate Bayesian modeling techniques into the Marketing Mix framework, including informed priors, MAP estimates, and parallel MCMC chain orchestration to optimize model stability and predictive accuracy.
• Build and maintain RAG pipelines—integrating Brand Guidelines, KPI knowledge bases, and Azure OpenAI LLMs via APIs—to enable contextual knowledge retrieval and AI‑driven narrative insights across structured and unstructured marketing data.
• Implement model validation frameworks, back‑testing routines, calibration checks, and sensitivity analyses to ensure reliability and fitness for use before deployment.
• Architect, deploy, and orchestrate autonomous and semi‑autonomous analytics agents within the Agentic platform—including multi‑agent coordination, task sequencing, and role/function definition—to progress from descriptive analytics through causal analysis, root‑cause insights, and predictive recommendations.

• Collaborate with engineering teams to identify key data sources, define business rules, and validate data schemas on Databricks, ensuring data governance and accessibility.
• Build scalable ETL data pipelines connecting enterprise data warehouses and flat files, optimizing ingestion and analytical efficiency.
• Develop, maintain, and enhance production‑grade analytics applications—including interactive dashboards (Streamlit, Dash) and guided chatbot/scenario simulation interfaces (React.js, Python)—to support Marketing Mix Modeling, promotional tracking, and spend/ROI forecasting.
• Engage brand and commercial stakeholders on technical model questions, explaining assumptions, uncertainty, and sensitivity findings in accessible, business‑relevant terms.

• Partner with BI&T, Data Science, TA Analytics, and Engineering to deliver analytics‑ready datasets, feature stores, and semantic layers, standardizing and accelerating insight generation across commercial functions.
• Partner with Brand Commercialization & Operations teams to deliver on‑demand data analyses supporting investment and sales force optimization decisions.
• Champion automation and platformization to reduce manual effort and external vendor reliance—identifying and implementing reuse opportunities across the enterprise analytics ecosystem.
• Coordinate with Data Governance, Legal, and Privacy teams to define SLAs, RACI matrices, and privacy‑by‑design principles for cross‑functional analytics programs.

• Ensure all AI tools and solutions are explainable, auditable, and compliant with BMS policies and relevant regulatory standards; continuously monitor outputs for bias and incorporate human‑in‑the‑loop mechanisms where required.
• Champion responsible AI practices—including model documentation, transparency, and lineage from data to model to insight to recommendation—to maintain trust and regulatory readiness.

• Lead structured change management initiatives, feedback loops, and adoption KPI tracking to drive sustained tool adoption and measurable business outcomes across commercial stakeholders.
• Enable non‑technical marketers and business partners to self‑serve scenario analyses through intuitive interfaces and comprehensive enablement programs.

• Minimum 3 years of experience in pharmaceutical commercial analytics, decision science, or advanced analytics; prior experience in a US Commercial pharmaceutical Decision Intelligence function preferred.
• 1 year of hands‑on Marketing Mix Modeling experience, including Bayesian, Ridge, and hierarchical econometric…