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:
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.
The role leads a dedicated technical squad and partners closely with the Data Product Owner, Information Architect, Solution Architect, and engineering leadership to ensure Plan data assets are fit‑for‑purpose, compliant, scalable, and delivered through modern CI/CD practices.
The TPO balances feature delivery with platform standards and technical debt management, ensuring Plan data assets meet defined quality, governance, and performance expectations while enabling reliable downstream analytics, AI, and business decision‑making.
Major Duties & Responsibilities :
Technical Product & Squad Ownership
- Lead the squad responsible for Plan, Silver and Gold data assets, including backlog refinement, sequencing, and technical prioritization.
- Own the technical roadmap for Plan data assets in alignment with Data Product Owner and the Information Architect aligned to the functional objectives and IMSC data platform standards.
- Be accountable for squad OKRs, driving delivery against quality, reliability, and timeliness targets.
- 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.
- Enforce code quality, metadata, mapping, lineage, and remediation standards across all deliveries.
- Partner with Information and Solution Architects to ensure compliance with information architecture, security, and data governance policies.
- Act as a technical gatekeeper, approving Plan data assets prior to release into production.
Delivery, CI/CD & Operational Excellence
- Lead release planning for Plan data assets with a strong focus on CI/CD and SDLC best practices, including automation, testing, versioning, and controlled releases.
- Ensure consistent application of code quality, testing, and deployment standards across data pipelines.
- Drive progressive automation of testing, promotion, and release processes to improve predictability and reliability.
Technical Leadership & Risk Management
- Balance technical debt reduction with ongoing feature delivery in partnership with Solution Architects and Lead Engineers.
- Review and challenge technical designs, implementation approaches, and coding standards to ensure long‑term scalability and maintainability.
- Proactively identify and mitigate risks related to upstream Plan systems, schema changes, and metric integrity.
Other Duties :
AI, GenAI & Advanced Analytics Enablement
- Apply AI and GenAI literacy to identify opportunities where Plan data assets can support AI‑enabled analytics, semantic search, and insight generation while maintaining governance and traceability.
- Provide guidance on effective and responsible prompt engineering to improve productivity across analysis, documentation, and quality checks.
- Ensure AI‑enabled use cases involving Plan data align with enterprise AI governance, risk, and compliance standards.
Ontology & Semantic Modelling Collaboration
- Collaborate with Information Architects on ontology‑driven and semantic modelling approaches to harmonize Plan data across domains and systems.
- Support the technology build and use of semantic layers to improve data reuse, cross‑domain integration, analytics, and AI consumption.
Ways of Working & Stakeholder Engagement
- Operate effectively within Agile delivery models, collaborating across product, architecture, and engineering teams.
- Act as a trusted bridge between business objectives and technical implementation.
- Maintain accountability for delivery outcomes within a squad‑based model.
Required Minimum Education:
Bachelor’s Degree in Computing or similar discipline
Required Knowledge, Skills and Abilities:
Overall Experience
- 5+ years experience working with data platforms, analytics, or data engineering in an enterprise environment.
- 3+ years in a technical leadership or senior contributor role, with accountability for delivery outcomes, technical quality, and design decisions.
- Experience operating within regulated or controlled data environments with formal SDLC, data governance, and release controls.
Additional Experience
· Data & Platform Expertise (5+ years)
o Hands on Hands‑on experience designing, building, or owning data pipelines and analytical data assets (e.g., Silver / Gold layers).
· Technical Leadership & Delivery (3+ years)
o Demonstrated experience leading or coordinating a technical squad or delivery team
· CI/CD, SDLC & Operational Excellence (3+ years)
o Practical experience working with CI/CD pipelines for data or software delivery
· Domain & Business Knowledge (3+ years preferred)
o Experience working with Plan / Supply Chain / Operations data, including upstream planning or execution systems (e.g., ERP, OMP, or equivalent)
· AI, GenAI & Advanced Analytics Enablement (1+ year)
o 1+ year hands‑on exposure to AI and GenAI concepts applied to analytics or data platforms
o Working knowledge of:
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- AI‑assisted analytics, insight generation, or semantic search
Required Skills:
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
The anticipated base pay range for this position is :
$117,000.00 - $201,250.00
Additional Description for Pay Transparency:
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year