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TPM - AI Data Solutions

Job in Titusville, Mercer County, New Jersey, 08560, USA
Listing for: Johnson & Johnson Innovative Medicine
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: TPM - AI Ready Data Solutions
Location: Titusville

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. Our expertise in Innovative Medicine and Med Tech enables us to innovate across the full spectrum of healthcare solutions to deliver breakthroughs of tomorrow and profoundly impact health for humanity.

Job

Function

Data Analytics & Computational Sciences

Job Sub Function

Multi-Family Data Analytics & Computational Sciences

Job Category

People Leader

All Job Posting Locations

Titusville, New Jersey, United States of America

Job Description

J&J is recruiting for a Technology Product Manager (TPM) – AI‑Ready Data Solutions role based in New Jersey and Ireland offices. The Technology Product Manager – AI‑Ready Data is a technology leader responsible for the ownership of solutions and products that define, benchmark and advance the AI readiness of data assets across IMSC. The role owns the AI‑Ready Data technology capability as a product, including the technical components of AI readiness standards, assessment of current‑state readiness across use cases, and delivery of a consolidated, prioritised roadmap of solutions to enable analytics, AI and GenAI products  role leads a small team and works in close partnership with Information Architects in the Data Strategy & Operations team, as well as Product Group Leaders, Solution Architects and AI product teams, to ensure data is trustworthy, secure and fit for autonomous decision‑making.

Major

Duties & Responsibilities
  • Own the AI‑Ready Data Technology capability as a product, including vision, roadmap and value realisation in partnership with the Information Architecture team
  • Operationalise AI readiness covering data definitions, semantics, lineage, metadata, data quality, security and compliance based on the criteria defined by the Information Architecture and Data Governance teams
  • Shape the technology capabilities and product roadmap of Knowledge Graph based on the AI use cases
  • Shape and introduce technology to benchmark AI readiness of data assets by AI use cases and application, identifying gaps, risks and dependencies
  • Develop and maintain a consolidated AI‑Ready Data roadmap aligned to AI product needs, platform strategy and enterprise standards in partnership with the Information Architecture team
  • Partner with Information Architects in Data Strategy & Operations to align semantic models, domains and canonical definitions to AI needs
  • Enable AI product teams by providing transparency into readiness status, roadmap timing and required mitigations
  • Lead and develop a small team of direct reports, providing clarity of goals, coaching and performance feedback
Other Duties
  • Good business and financial acumen; capable of aligning AI‑Ready data initiatives with strategic goals
  • Proven expertise in AI‑driven transformation, including decision intelligence, agentic AI and other transformative approaches
  • Ontology & Semantic Modelling Collaboration
    • Collaborate with Information Architects on ontology‑driven and semantic modelling approaches to harmonise data across domains and systems
    • Support the use of semantic layers to shape the capabilities required for AI consumption
  • Good communication, influence and leadership skills to drive cross‑functional alignment
  • Demonstrated ability to lead and motivate high‑performing teams in dynamic, multidisciplinary environments
Required

Minimum Education

Bachelor’s Degree

Required Knowledge,

Skills and Abilities
  • Bachelor’s or master’s degree in computer science, artificial intelligence, data science, information systems, STEM or a related field; equivalent work experience considered. Academic qualifications or professional training in legal and regulatory areas are desirable
  • 10 years of experience in technology management; experience with independent P&L responsibilities is a plus
  • At least 5 years of progressive leadership experience directing cross‑functional teams/initiatives in complex organisational contexts
  • 5+ years of hands‑on AI experience in information‑intensive or digitally advanced industries
  • 5+…
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