IT Portfolio & Project Manager - AI-Driven R&D Platforms

Johnson & Johnson MedTech

West Chester (Chester County)

On-site

USD 102,000 - 177,000

Full time

10 days ago

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Job summary

Johnson & Johnson DePuy Synthes is seeking an IT Manager, TPO Portfolio and Project Management to lead portfolio and project management technology for R&D and Supply Chain. You will own the product vision, roadmap, and backlog, and partner with cross‑functional teams to translate business needs into clear user stories and acceptance criteria.

The role emphasizes agile delivery, governance, and measurable value, with domestic travel up to 10–15%.

Qualifications

Bachelor’s degree in Information Systems, Engineering, CS, or related field.
6–8 years in technology or digital product management with manager or senior IC experience.
Experience as a product owner/PM for enterprise tech solutions.
Ability to translate business needs into tech requirements.
Experience in regulated industries (medical devices/pharma/life sciences).
Experience with agile or hybrid delivery.

Responsibilities

Own the product vision, roadmap, and backlog for the assigned Portfolio and Project Management technology platforms, ensuring cross-functional alignment.
Partner with R&D, Supply Chain, and other cross-functional teams to gather requirements and translate them into clear user stories and acceptance criteria.
Lead prioritization decisions to balance business value, compliance, and delivery timelines.
Serve as the primary point of accountability for product performance, lifecycle management, and continuous improvement.
Collaborate with development teams to support agile delivery, including sprint planning, backlog refinement, and release readiness.
Drive continuous improvement of portfolio management processes, tools, and governance models.
Monitor product outcomes and KPIs to ensure solutions deliver measurable value to the cross-functional teams.
Demonstrate Johnson & Johnson’s Credo and leadership behaviors in all interactions.
Lead the application of AI, advanced analytics, and automation to modernize R&D platforms, accelerating product development, improving scientific and engineering insights, and strengthening end‑to‑end decision‑making while enabling scalable, compliant, and efficient R&D operations from discovery through lifecycle management.