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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TPM - AI Ready Data Solutions - **Company:** Johnson & Johnson - **Location:** Hopewell Township, NJ, United States - **Experience:** Expert - **Salary:** $137,000.0 - $235,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Systems, Data Governance, Data Systems, Digital Assets, Graph Database, Metadata, Software Product Management, Technical Data Management Systems, Data Strategy, Data Layers, Information Technology, Data Management, Virtual Agents - **Published:** July 11, 2026 - **Apply:** https://www.juju.com/job/00000000gfbp8u ## About the Role + 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. ## 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 ## Related Videos - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [The Human API: Designing Organizations for Judgment, Not Just Execution](https://www.wearedevelopers.com/videos/100213-the-human-api-designing-organizations-for-judgment-not-just-execution) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)