Job Function
Data Analytics & Computational Sciences
Job Sub Function
Multi-Family Data Analytics & Computational Sciences
Job Category
People Leader
All Job Posting Locations
Limerick, Ireland
Job Description
Johnson & Johnson is recruiting for a Technology Product Manager (TPM) – AI-Ready Data Solutions role based in New Jersey and Ireland offices.
The TPM is a technology leader owning the AI-Ready Data technology capability as a product, defining, benchmarking, and advancing the AI readiness of data assets across IMSC.
This role owns the technical components of AI readiness standards, assesses current-state readiness across use cases, and delivers a consolidated, prioritized roadmap of solutions to enable analytics, AI, and GenAI products at scale.
The TPM 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 criteria defined by the Information Architecture and Data Governance teams
Shape the technology capabilities and product roadmap of Knowledge Graph based on 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 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 organizational contexts.
5+ years of hands-on AI experience in information-intensive or digitally advanced industries.
5+ years of experience in Data/Data Platforms with enterprise scale.
5+ years of experience in Automation specifically with progressive AI tools and technologies.
Track record of fostering and embracing change and being part of multidisciplinary teams through business and technology transformations.
Industry and vertical-specific knowledge, and experience working with or within multiple industries, is desirable.
Required Skills
No list provided.
Preferred Skills
Advanced Analytics, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Performance Measurement, Process Optimization, Relationship Building, Stakeholder Engagement, Statistical Computing, Strategic Thinking
Anticipated Base Pay Range
€85,****** - €146,******
Benefits
In addition to base pay, we offer the following benefits: an annual bonus with set target (percentage of pay) depending on pay grade/location, vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health, service anniversary and recognition awards, and, in some locations, eligible dependents can participate in several insurance plans.
(Actual benefits may vary by location and are subject to change.)
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