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Sr Manager, Program Manager, R&D BI&T

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol-Myers Squibb
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    IT Project Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Working with Us

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high‑achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

Sr. Manager, Program Manager — LIMS/ELN & Entity Registration Product Team, R&D BI&T

Location:

Cambridge, MA or Lawrenceville, NJ

Position Overview

The Program Manager will orchestrate cross‑functional delivery of the Benchling platform (ELN, LIMS, Registration, Inventory, Results/Schemas, Integrations, Advanced Analytics/GenAI) across BMS Research. This is a hands‑on role partnering with product owners, capability leads, site leaders, scientists, and IT teams to align strategy, scope, timelines, and resources—turning a complex, multi‑site rollout into predictable outcomes with measurable adoption and data quality improvements.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Desired Candidate Characteristics
  • Strong commitment to a career in technology with a passion for healthcare and scientific discovery.
  • Proven experience running large, multi‑workstream programs in life sciences R&D or similar complex environments.
  • Ability to operate in a matrixed organization and influence without direct authority.
  • Executive‑ready communication and crisp storytelling; comfortable with C‑suite updates.
  • Bias for outcomes, sets clear goals, measures adoption and value, and removes roadblocks.
  • Agility to learn new tools and processes; aptitude for data and platform thinking.
Key Responsibilities Program Strategy & Roadmap
  • Translate product strategy into a multi‑wave, site‑aware program plan with milestones, dependencies, and measurable outcomes.
  • Align scope and priorities across implementation teams and capability leads (ELN/Workflows, Results/Schemas, Registration/Inventory/ Instruments/ Integrations/API/Connect, Advanced Analytics/GenAI, Governance/Comms/Training).
Planning & Delivery Governance
  • Run integrated program ceremonies: quarterly planning, monthly portfolio reviews, and weekly cross‑squad syncs.
  • Maintain the source‑of‑truth plan (Jira/Confluence or equivalent), including risks, issues, decisions (RAID), and change control.
  • Drive critical path management, cross‑team dependency tracking, and fast escalation paths.
Stakeholder Management & Communication
  • Establish an executive communication cadence with clear status narratives, KPIs, and decisions needed.
  • Partner with site leaders and scientific stakeholders to stage rollouts that minimize disruption and maximize value.
Budget, Sourcing & Vendor Management
  • Build and manage program budgets; forecast and track actuals.
  • Coordinate vendor SOWs, deliverables, SLAs, and performance, ensuring alignment with product and site needs.
Adoption, Outcomes & Value Realization
  • Define and instrument adoption and data‑quality KPIs (activation, engagement, completeness, cycle time, support load, satisfaction).
  • Partner with change management and training leads to ensure role‑based enablement, champions networks, and hypercare plans are embedded in each wave.
Quality‑by‑Design Execution
  • Ensure work is planned with clear requirements, acceptance criteria, test approaches, and production readiness checkpoints.
  • Coordinate cutover/hypercare playbooks and “You asked, we fixed” feedback loops after each release.
Data & Integration Readiness
  • Coordinate data migration and integration milestones with enterprise teams; sequence upstream/downstream changes to avoid breakage.
  • Promote patterns that…
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