TPO - IMT Supply Chain Plan Data Assets

Job Title: Technical Product Owner - Plan Data Assets

Locations: New Jersey, USA and Limerick, Ireland (hybrid role)

Job Function: Data Analytics & Computational Sciences; Sub Function: Multi Family Data Analytics & Computational Sciences.

Job Overview

This is a hybrid role based in J&J's New Jersey and Ireland offices. The Technical Product Owner (TPO) - Plan Data Assets is accountable for the technology delivery, deployment, and operational support of Bronze, Silver and Gold data assets for the Plan function.

Responsibilities

• Technical Product & Squad Ownership - Lead the squad responsible for Plan, Silver and Gold data assets, including backlog refinement, sequencing and technical prioritisation.
• Roadmap Ownership - Own the technical roadmap for Plan data assets in alignment with the Data Product Owner and Information Architect.
• OKR Accountability - Be accountable for squad OKRs, driving delivery against quality, reliability and timeliness targets.
• User Story Translation - Translate business and product requirements into clear technical user stories with defined acceptance criteria.
• Data Quality, Standards & Governance - Ensure consistent application of standards for creation, enhancement and remediation of Plan Silver and Gold assets and enforce code quality, metadata, mapping and lineage standards.
• Compliance Partnership - Partner with Information and Solution Architects to ensure compliance with architecture, security and data governance policies.
• Technical Gatekeeper - Approve Plan data assets prior to release into production.
• Release Planning - Lead release planning for Plan data assets focusing on CI/CD, SDLC best practices, automation, testing, versioning and controlled releases.
• Operational Excellence - Ensure consistent application of code quality, testing and deployment standards across data pipelines and drive progressive automation of testing and release processes.
• Technical Leadership & Risk Management - Balance technical debt reduction with ongoing feature delivery, review and challenge technical designs, and proactively mitigate risks related to upstream Plan systems, schema changes and metric integrity.
• AI, GenAI & Advanced Analytics Enablement - Apply AI and GenAI literacy to identify opportunities for AI enabled analytics, semantic search and insight generation while maintaining governance and traceability.
• Prompt Engineering Guidance - Provide guidance on effective and responsible prompt engineering to improve productivity across analysis, documentation and quality checks.
• AI Governance Alignment - Ensure AI enabled use cases align with enterprise AI governance, risk and compliance standards.
• Ontology & Semantic Modelling Collaboration - Collaborate with Information Architects on ontology driven and semantic modelling approaches, and support the technology build of semantic layers to improve data reuse and AI consumption.
• Agile Delivery & Stakeholder Engagement - Operate effectively within Agile delivery models, maintain accountability for delivery outcomes, and act as a trusted bridge between business objectives and technical implementation.

Qualifications

• Education - Bachelor's Degree in Computing or a related discipline.
• Overall Experience - 5+ years working with data platforms, analytics or data engineering in an enterprise environment.
• Leadership Experience - 3+ years in a technical leadership or senior contributor role with accountability for delivery outcomes, technical quality and design decisions.
• Regulated Environment Experience - Experience operating within regulated or controlled data environments with formal SDLC, data governance and release controls.
• Data & Platform Expertise (5+ years) - Hands on experience designing, building or owning data pipelines and analytical data assets (Silver/Gold layers).
• Technical Leadership & Delivery (3+ years) - Demonstrated experience leading or coordinating a technical squad or delivery team.
• CI/CD, SDLC & Operational Excellence (3+ years) - Practical experience with CI/CD pipelines for data or software delivery.
• Domain & Business Knowledge (3+ years preferred) - Experience with Plan, Supply Chain or Operations data, including upstream planning or execution systems such as ERP or OMP.
• AI, GenAI & Advanced Analytics Enablement (1+ year) - Hands on exposure to AI and GenAI concepts applied to analytics or data platforms, and working knowledge of LLMs, RAG, AI assisted analytics, insight generation or semantic search.
• Required Skills - Advanced Analytics, Change Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Process Optimization, Relationship Building, Statistical Computing, Strategic Thinking.
• Preferred Skills - Advanced Analytics, Change Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Process Optimization, Relationship Building, Statistical Computing, Strategic Thinking.

Benefits

• €70,100.00 - €121,210.00 annual base pay.
• Annual bonus with target percent of pay (variable based on employee and company performance).
• Vacation days.
• Parental leave: minimum 12 weeks.
• Bereavement, caregiver and volunteer leave.
• Well being reimbursement and programmes for financial, physical and mental health.
• Service anniversary and recognition awards.
• Insurance plans (varies by location).

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.

At Johnson & Johnson, we believe health is everything.