TPM - AI Ready Data Solutions
- Source: Workday
- 8388-Johnson & Johnson International (Singapore) Pte. Ltd. (ROHQ) (Branch) Legal Entity
- $137,000 to $235,750 /yr
- Hybrid
- Titusville
- Full-Time
- Mid level
Job Description
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:
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 their New Jersey and Ireland offices.
The Technology Product Manager (TPM) – AI-Ready Data is a technology leader having the ownership of solutions and products which will define, benchmark, and advance the AI readiness of data assets across IMSC. This 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, prioritized roadmap of solutions to enable analytics, AI, and GenAI products at scale. The 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 realization in partnership with the Information Architecture team
· Operationalize 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 harmonize 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 …
Skills
- benchmark
- microsoft-graph
- workday
You missed this one - but you don't have to keep missing out. Try Club members get matched with open opportunities before they're gone, so you're always first in line, never last.
