Position SummaryThe Analytics Development team, part of Product Development & Supply Business Insights & Technology (PDS BI&T), partners with the broader PDS organization to answer key business questions that drive business strategy using advanced data analytics and data science.
The Senior Manager, Operations Research and Analytics Development will partner with SMEs across the Analytics Development organization to design, build, and scale core tools that serve as the technical foundation for analytics solutions. These solutions will support multiple PDS verticals, including Product Development (PD), Global Business Unit (GBU), Global Supply Chain (GSC), Global Quality (GQ), and Global Technical Services (GTS).
This role is intended for a technically deep individual contributor with strong foundations in operations research and production-grade Python software engineering, and demonstrated capability to develop, maintain, and evolve complex analytics codebases. The role requires close collaboration with other developers, disciplined use of CI/CD and modern engineering workflows, and strong judgment in triaging and prioritizing core platform development to maximize business impact. The successful candidate will also use AI-assisted development tools effectively while balancing accelerated prototyping with strong code comprehension and sound technical decision-making.
Key ResponsibilitiesTechnical Leadership: Operations Research and Software Engineering- Apply operations research methods, including MILP (mixed integer linear programming), DES (discrete event simulation), stochastic modeling, and decision analysis under uncertainty, to complex PDS use cases.
- Architect, implement, and maintain complex Python codebases with high standards for modularity, testability, performance, and reliability, including codebases that operationalize MILP and DES models.
- Translate analytical prototypes into robust, production-ready solutions through close collaboration with BI&T, platform teams, and peer developers.
AI-Assisted Development and Engineering Excellence- Leverage AI coding tools (e.g., Claude Code or similar) to improve development velocity across implementation, refactoring, documentation, and debugging while maintaining engineering rigor and code comprehension.
- Establish and advance software engineering best practices, including CI/CD, code reviews, automated testing, linting, reproducible environments, and technical documentation.
- Expose operations research tools and model workflows through an MCP server to enable secure, reliable agentic interactions and automation.
- Define and maintain technical standards for code quality, maintainability, and reliable deployment across the AD portfolio.
Collaboration and Business Impact- Partner closely with AD peers and group leaders to identify, triage, prioritize, and deliver analytics solutions aligned to strategic objectives.
- Communicate analytical findings, technical trade-offs, and implementation implications clearly to both technical and non-technical leaders.
- Support decision-making by framing recommendations with data, model assumptions, and quantified uncertainty.
Team Productivity and Mentorship- Mentor and coach junior team members on operations research, Python engineering, and best practices in analytics delivery.
- Lead peer reviews, design walkthroughs, and knowledge-sharing sessions to strengthen team capability and consistency.
- Manage multiple workstreams with clear scope, milestones, risk awareness, and accountability.
Qualifications & ExperienceRequired- PhD in Operations Research, Applied Mathematics, Computer Science, or related quantitative STEM field.
- 2-3 years of professional experience, preferably in industry, building and deploying analytics and operations research solutions.
- Demonstrated expertise in Python software engineering for complex production or production-adjacent systems.
- Strong experience with Git and modern collaborative workflows, including branching strategies, pull requests, code review, and release/version management.
- Hands-on experience using AI-assisted coding tools (e.g., Claude Code or equivalent) within practical software development workflows.
- Strong grounding in one or more of the following: optimization, simulation, stochastic modeling, and risk modeling.
- Excellent written and verbal communication skills, including the ability to tailor technical content for senior business and technical audiences.
Preferred- Experience in pharmaceutical product development, supply chain, manufacturing, or demand/supply planning.
- Experience with AWS cloud infrastructure and full-stack development for analytics applications and platforms.
- Experience with cloud-enabled analytics, data pipelines, or data lake integration.
- Familiarity with SQL and modern data engineering practices.
- Experience leading small teams or technical project squads.
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview:New Brunswick - NJ - US: $139,570 - $169,126
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include:Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
