Senior Manager, Operations Research and Analytics Development
Bristol Myers Squibb
June 30, 2026
Remote friendly (New Brunswick, NJ)
United States
Operations
Position Summary
Senior Manager, Operations Research and Analytics Development (Analytics Development / PDS BI&T). Design, build, and scale core analytics tools serving multiple PDS verticals.
Key Responsibilities
- Apply operations research methods (MILP, DES, stochastic modeling, decision analysis under uncertainty) to complex use cases.
- Architect, implement, and maintain production Python codebases (modularity, testability, performance, reliability), including MILP/DES operationalization.
- Translate prototypes into robust production solutions via close collaboration with BI&T, platform teams, and peers.
- Use AI coding tools (e.g., Claude Code) to improve velocity while maintaining rigor and code comprehension.
- Establish/advance engineering best practices: CI/CD, code reviews, automated testing, linting, reproducible environments, technical documentation.
- Expose OR tools/workflows via an MCP server for secure agentic interactions/automation.
- Define/maintain standards for code quality, maintainability, and reliable deployment.
- Partner to identify/triage/prioritize deliverables aligned to strategy; communicate trade-offs and uncertainty.
- Mentor/coach junior team members; lead peer reviews and knowledge sharing; manage multiple workstreams.
Required Qualifications
- PhD in Operations Research/Applied Math/CS or related quantitative STEM.
- 2–3 years (preferably industry) deploying analytics/OR solutions.
- Strong production Python engineering.
- Git + modern collaborative workflows (PRs, code review, release/version management).
- Hands-on AI-assisted coding tool experience.
- Strong grounding in optimization/simulation/stochastic/risk modeling.
- Excellent written/verbal communication.
Preferred
- Pharma product development, supply chain, manufacturing, or demand/supply planning.
- AWS; full-stack analytics/platform development.
- Cloud-enabled analytics/data pipelines/data lake integration; SQL.
- Experience leading small teams.
Compensation/Benefits (explicit)
- $139,570–$169,126 (New Brunswick, NJ, US); additional incentive cash/stock may be available.
- Health, wellbeing, financial protection including 401(k), disability, life insurance, etc.; paid time off/flexible time off and related programs.
Application Instruction
- Apply even if your experience doesn’t perfectly match.
Senior Manager, Operations Research and Analytics Development (Analytics Development / PDS BI&T). Design, build, and scale core analytics tools serving multiple PDS verticals.
Key Responsibilities
- Apply operations research methods (MILP, DES, stochastic modeling, decision analysis under uncertainty) to complex use cases.
- Architect, implement, and maintain production Python codebases (modularity, testability, performance, reliability), including MILP/DES operationalization.
- Translate prototypes into robust production solutions via close collaboration with BI&T, platform teams, and peers.
- Use AI coding tools (e.g., Claude Code) to improve velocity while maintaining rigor and code comprehension.
- Establish/advance engineering best practices: CI/CD, code reviews, automated testing, linting, reproducible environments, technical documentation.
- Expose OR tools/workflows via an MCP server for secure agentic interactions/automation.
- Define/maintain standards for code quality, maintainability, and reliable deployment.
- Partner to identify/triage/prioritize deliverables aligned to strategy; communicate trade-offs and uncertainty.
- Mentor/coach junior team members; lead peer reviews and knowledge sharing; manage multiple workstreams.
Required Qualifications
- PhD in Operations Research/Applied Math/CS or related quantitative STEM.
- 2–3 years (preferably industry) deploying analytics/OR solutions.
- Strong production Python engineering.
- Git + modern collaborative workflows (PRs, code review, release/version management).
- Hands-on AI-assisted coding tool experience.
- Strong grounding in optimization/simulation/stochastic/risk modeling.
- Excellent written/verbal communication.
Preferred
- Pharma product development, supply chain, manufacturing, or demand/supply planning.
- AWS; full-stack analytics/platform development.
- Cloud-enabled analytics/data pipelines/data lake integration; SQL.
- Experience leading small teams.
Compensation/Benefits (explicit)
- $139,570–$169,126 (New Brunswick, NJ, US); additional incentive cash/stock may be available.
- Health, wellbeing, financial protection including 401(k), disability, life insurance, etc.; paid time off/flexible time off and related programs.
Application Instruction
- Apply even if your experience doesn’t perfectly match.