Sr Manager, Program Manager, R&D BI&T
Bristol Myers Squibb
4 months ago
Remote friendly (Princeton, NJ)
United States
IT
Sr. Manager, Program Manager - LIMS/ELN & Entity Registration Product Team (R&D BI&T)
Location: Cambridge, MA or Lawrenceville, NJ
Position Overview
- Orchestrate cross-functional delivery of the Data Capture platform (ELN, LIMS, Registration, Inventory, Results/Schemas, Integrations, Advanced Analytics/GenAI) across BMS Research.
- Partner with product owners, capability leads, site leaders, scientists, and IT teams to align strategy, scope, timelines, and resources to drive predictable, measurable adoption and data quality improvements.
Desired Candidate Characteristics
- Strong commitment to a career in technology with 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/value; removes roadblocks.
- Agility to learn new tools/processes; aptitude for data and platform thinking.
Key Responsibilities
- Program Strategy & Roadmap: Translate product strategy into a multi-wave, site-aware plan with milestones, dependencies, and measurable outcomes; align scope/priorities across capability areas.
- Planning & Delivery Governance: Run quarterly/monthly/weekly ceremonies; maintain source-of-truth plan (Jira/Confluence or equivalent) with RAID and change control; manage critical path and escalations.
- Stakeholder Management & Communication: Establish executive communication cadence with status narratives and KPIs; stage rollouts with site leaders/scientific stakeholders to minimize disruption and maximize value.
- Budget, Sourcing & Vendor Management: Build/manage budgets; forecast/track actuals; coordinate vendor SOWs, deliverables, SLAs, and performance.
- Adoption, Outcomes & Value Realization: Define/instrument adoption and data-quality KPIs; embed change management, training, champions networks, and hypercare in each wave.
- Quality-by-Design Execution: Ensure clear requirements, acceptance criteria, test approaches, and production readiness; coordinate cutover/hypercare playbooks and feedback loops.
- Data & Integration Readiness: Coordinate data migration/integration milestones; sequence upstream/downstream changes; promote structured reusable research data for downstream analytics and GenAI tools.
Qualifications
- Education: Bachelor’s degree in Life Sciences, Engineering, Information Systems, or related field; advanced degree preferred.
- Experience: 8+ years program/project management leading multi-site technology programs; life sciences R&D strongly preferred. Track record delivering ELN, LIMS, registration, or adjacent lab/analytics systems at enterprise scale.
- Technical/Methodological Skills: Jira/Confluence and portfolio tools (e.g., Smartsheet/Planview); strong SDLC/Agile, test planning, release/change management, and data/integration concepts; metrics design and dashboarding.
- Soft Skills: Facilitation/negotiation; executive communication; lead cross-functional teams and vendors; high ownership and calm, structured approach under pressure.
Preferred Qualifications
- Certifications (PMP, PgMP, SAFe, or Agile leadership).
- Experience with Benchling or comparable platforms (Genedata, Dotmatics, Revvity, Sapio).
- Familiarity with lab operations, scientific workflows, and research data stewardship.
- Exposure to analytics/ML/GenAI initiatives and data-readiness practices.
Compensation Overview (if applicable)
- Cambridge Crossing: $148,850 - $180,374
- Princeton - NJ - US: $135,320 - $163,976
Benefits (high level)
- Health coverage (medical, pharmacy, dental, vision); wellbeing support; 401(k), disability, life insurance, and other protections.
- Paid time off: flexible time off (unlimited with manager approval) for US exempt employees; other PTO parameters vary by location/role.
Application Instructions
- Apply even if your experience doesn’t perfectly match the role requirements.
Location: Cambridge, MA or Lawrenceville, NJ
Position Overview
- Orchestrate cross-functional delivery of the Data Capture platform (ELN, LIMS, Registration, Inventory, Results/Schemas, Integrations, Advanced Analytics/GenAI) across BMS Research.
- Partner with product owners, capability leads, site leaders, scientists, and IT teams to align strategy, scope, timelines, and resources to drive predictable, measurable adoption and data quality improvements.
Desired Candidate Characteristics
- Strong commitment to a career in technology with 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/value; removes roadblocks.
- Agility to learn new tools/processes; aptitude for data and platform thinking.
Key Responsibilities
- Program Strategy & Roadmap: Translate product strategy into a multi-wave, site-aware plan with milestones, dependencies, and measurable outcomes; align scope/priorities across capability areas.
- Planning & Delivery Governance: Run quarterly/monthly/weekly ceremonies; maintain source-of-truth plan (Jira/Confluence or equivalent) with RAID and change control; manage critical path and escalations.
- Stakeholder Management & Communication: Establish executive communication cadence with status narratives and KPIs; stage rollouts with site leaders/scientific stakeholders to minimize disruption and maximize value.
- Budget, Sourcing & Vendor Management: Build/manage budgets; forecast/track actuals; coordinate vendor SOWs, deliverables, SLAs, and performance.
- Adoption, Outcomes & Value Realization: Define/instrument adoption and data-quality KPIs; embed change management, training, champions networks, and hypercare in each wave.
- Quality-by-Design Execution: Ensure clear requirements, acceptance criteria, test approaches, and production readiness; coordinate cutover/hypercare playbooks and feedback loops.
- Data & Integration Readiness: Coordinate data migration/integration milestones; sequence upstream/downstream changes; promote structured reusable research data for downstream analytics and GenAI tools.
Qualifications
- Education: Bachelor’s degree in Life Sciences, Engineering, Information Systems, or related field; advanced degree preferred.
- Experience: 8+ years program/project management leading multi-site technology programs; life sciences R&D strongly preferred. Track record delivering ELN, LIMS, registration, or adjacent lab/analytics systems at enterprise scale.
- Technical/Methodological Skills: Jira/Confluence and portfolio tools (e.g., Smartsheet/Planview); strong SDLC/Agile, test planning, release/change management, and data/integration concepts; metrics design and dashboarding.
- Soft Skills: Facilitation/negotiation; executive communication; lead cross-functional teams and vendors; high ownership and calm, structured approach under pressure.
Preferred Qualifications
- Certifications (PMP, PgMP, SAFe, or Agile leadership).
- Experience with Benchling or comparable platforms (Genedata, Dotmatics, Revvity, Sapio).
- Familiarity with lab operations, scientific workflows, and research data stewardship.
- Exposure to analytics/ML/GenAI initiatives and data-readiness practices.
Compensation Overview (if applicable)
- Cambridge Crossing: $148,850 - $180,374
- Princeton - NJ - US: $135,320 - $163,976
Benefits (high level)
- Health coverage (medical, pharmacy, dental, vision); wellbeing support; 401(k), disability, life insurance, and other protections.
- Paid time off: flexible time off (unlimited with manager approval) for US exempt employees; other PTO parameters vary by location/role.
Application Instructions
- Apply even if your experience doesn’t perfectly match the role requirements.