Senior Manager – Technical Product Manager, AI

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

Scientific/Technology

All Job Posting Locations:

Raritan, New Jersey, United States of America, Titusville, New Jersey, United States of America

Job Description:

Innovative Medicine – Digital Platforms & Advanced Technology

Role Focus

Technical product management leadership for scalable, compliant digital platforms and data‑ and AI‑enabled capabilities across Innovative Medicine.

Job Summary

The Senior Manager – Technical Product Manager, AI within Innovative Medicine – Digital Platforms & Advanced Technology leads technical product teams delivering enterprise‑grade, scalable, and compliant digital and AI‑enabled solutions.

This role collaborates closely with Business Product Owners, Software Engineering, Technology Services, Quality, and Compliance to define and execute product vision, strategy, and roadmaps aligned to business objectives and regulatory standards. The Senior Manager is accountable for technical product strategy, backlog and delivery ownership, solution design oversight, value realization, and operational excellence, fostering innovation, data‑driven decision‑making, and strong governance in a highly regulated environment.

Key Responsibilities

Product Management & Strategy

• In partnership with Business Product Owners and Software Engineering, define and own the technical product vision, AI strategy, and roadmap supporting Innovative Medicine priorities, aligned to strategic objectives and measurable business outcomes (e.g., compliance, efficiency, scalability).

• Translate business needs into prioritized epics, features, and user stories, ensuring clarity of scope, architectural intent, and delivery outcomes.

• Establish, manage, and continuously refine prioritized product backlogs, balancing business value, technical debt, risk, and long‑term platform health.

• Drive demand intake, prioritization, and dependency management across multiple teams, products, and suppliers.

• Define and track KPIs and OKRs to measure product adoption, operational impact, value realization, and continuous improvement.

Backlog, Planning & Delivery Accountability

• Lead and govern backlog refinement, quarterly planning, sprint execution, and release planning across multiple teams and product lines.

• Ensure accountability for end‑to‑end delivery, including DevOps readiness, operational handover, and post‑release support.

• Partner with Product Owners to resolve capacity constraints, platform limitations, and cross‑team dependencies.

• Provide transparent and data‑driven reporting on delivery progress, risks, and trade‑offs to senior stakeholders.

Technical Solutioning & Delivery

• Co‑lead solution design and delivery for scalable, secure, enterprise‑grade platforms, including data, analytics, automation, and AI‑enabled capabilities where applicable.

• Collaborate with engineering teams to ensure technical feasibility, architectural integrity, performance, security, and compliance.

• Define and enforce product and platform standards, including solution design, development practices, release management processes, testing and validation, compliance requirements, and master data structures.

• Drive solution option selection, partnering with Lead Engineers to assess technical elements, balance technical debt, and support informed decisions prior to user testing.

• Lead build‑vs.‑buy decisions, supplier engagement, and architectu