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Job Title: Senior Data Product Manager - Data Intelligence
Company Name: Johnson & Johnson
Location: New Brunswick, NJ
Position Type: Full Time
Post Date: 06/10/2026
Expire Date: 07/10/2026
Job Categories: Advertising/Marketing/Public Relations, Healthcare, Other
Job Description
Senior Data Product Manager - Data Intelligence
<p style="text-align:left !important">At Johnson &amp; 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 <a target="_blank" href="https://www.jnj.com"><span style="color:#0000ff"><u>jnj.com</u></span></a></p><p></p><p>As guided by Our Credo, Johnson &amp; 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 &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><span><span>Job Function: </span></span></b></p>Technology Product &amp; Platform Management<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b><span><span>Job Sub </span></span><span><span>Function: </span></span></b></p>Technical Product Management<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Category:</b></p>Scientific/Technology<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>All Job Posting Locations:</b></p>New Brunswick, New Jersey, United States of America<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Job Description:</b></p><p>We are searching for the best talent for <b><span>Senior Data Product</span><span><span> </span>Manager</span><span>,</span><span><span> </span></span><span>Data Intelligence &amp; Marketplace</span></b><span><span>,<span> </span></span><span>located</span><span><span> </span>in New Brunswick, NJ.</span></span></p><p></p><p>Remote work options may be considered on a case-by-case basis and if approved by the Company.</p><p></p><div><div><p><span><span>Caring for the world, one person at a time has inspired and united the people of Johnson &amp; Johnson for over 130 years. We embrace research and science—</span><span>bringing</span><span><span> </span>innovative ideas,<span> </span></span><span>products</span><span><span> </span>and services to advance the health and well-being of people.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>With a global footprint spanning more than 250 operating companies and a workforce of over 125,000 employees, Johnson &amp; Johnson is uniquely positioned to lead the future of health—and the future of work. If you have the talent and ambition to shape how organizations understand, enable, and support their people at scale, Johnson &amp; Johnson offers the opportunity to make a lasting impact.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>Thriving on a diverse company culture, we celebrate the uniqueness of our employees and are committed to inclusion. Johnson &amp; Johnson<span> </span></span><span>is</span><span><span> </span>proud to be an equal opportunity employer.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>HR Data &amp; Intelligence sits at the heart of Johnson &amp; Johnson’s HR Digital ecosystem, architecting the intelligence layer that shapes how the company understands, engages, and mobilizes its global workforce. This organization builds and operationalizes enterprise-scale data, analytics, and AI capabilities that do more than inform decisions—they reshape how HR plans, predicts, personalizes, and performs. By unifying data science, employee listening, knowledge management, and responsible AI, HR Data &amp; Intelligence is transforming workforce signals into strategic advantage, ensuring HR is not only insight-led and future-ready, but a trusted steward of ethical, human-centered intelligence at scale</span><span>.</span><span> <span> </span></span><span>Within this ecosystem, Data Services is the business-owned data platform capability that ensures HR data is trusted, scalable, and analytics-ready.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>Purpose: The<span> </span></span></span><b><span>Senior Data Product</span><span><span> </span>Manager,<span> </span></span><span>Data Intelligence</span><span><span> </span>&amp;<span> </span></span><span>Marketplace</span></b><span><span><span> </span>is a senior business<span> </span></span><span>product leader within HR Data &amp; Intelligence,<span> </span></span><span>accountable<span> </span></span><span>for the definition, enablement, and enterprise adoption of HR data products,<span> </span></span><span>platinum-layer business definitions and metrics</span><span>, and<span> </span></span><span>marketplace</span></span><span>‑</span><span><span>based</span><span><span> </span>consumption. Reporting to the<span> </span></span></span><b><span>Head of Data Services</span></b><span><span>, this role owns the business outcomes of HR data products and the HR data marketplace that enable<span> </span></span><span>processes,<span> </span></span><span>analytics, AI, and digital HR experiences at scale.</span></span><span> </span></p></div><div><p><span> </span></p></div><div><p><span><span>This role ensures that HR data is not only physically available, but meaningfully defined, productized where<span> </span></span><span>appropriate</span><span>, discoverable, reusable, and<span> </span></span><span>decision</span></span><span>‑</span><span><span>ready</span><span><span> </span>across the enterprise. Acting as a business product owner for HR data products and enterprise business meaning, this leader defines canonical entities and metrics, owns and manages data product lifecycles, and determines appropriate representation models for structured and unstructured<span> </span></span><span>data—including<span> </span></span><span>graph</span></span><span>‑</span><span><span>based</span><span><span> </span>modeling for relationship</span></span><span>‑</span><span><span><span> </span>and<span> </span></span><span>knowledge</span></span><span>‑</span><span><span>centric</span><span><span> </span>data—</span><span>independent of marketplace publication.</span></span><span> </span></p></div><div><p></p><p><span><span>Key Responsibilities</span></span><span> </span></p></div><div><ul><li><p><span><span>Own the business strategy and execution of HR data products, Platinum</span></span><span>‑</span><span><span>layer business definitions and metrics, and the HR data marketplace</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensure HR data is productized where<span> </span></span><span>appropriate</span><span>, discoverable, reusable, and decision</span></span><span>‑</span><span><span>ready to support analytics, AI, and HR digital experiences</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Act as the business owner of data product and marketplace outcomes, including adoption, reuse, usability, and value realization</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Define and<span> </span></span><span>maintain</span><span><span> </span></span><span>canonical</span><span><span> </span>HR entities, metrics, and relationships used consistently across analytics, AI models, and digital products</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Own and manage data product lifecycles, including definition, evolution, consolidation, and retirement, in partnership with Data Product Stewards</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Determine<span> </span></span><span>appropriate representation</span><span><span> </span>models for structured and unstructured data, including graph</span></span><span>‑</span><span><span>based modeling for relationship</span></span><span>‑</span><span><span><span> </span>and knowledge</span></span><span>‑</span><span><span>centric data, independent of marketplace publication</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Serve as the enterprise decision authority on reuse versus bespoke data assets across HR domains and product teams</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ensure consistent implementation of enterprise standards for data product contracts, metadata, documentation, ownership, and semantic consistency</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Partner with the Data Platform Senior Manager, Lakehouse Strategy &amp; Enablement to ensure semantic and intelligence requirements are supported by the physical<span> </span></span><span>lakehouse</span><span><span> </span>platform</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Partner with the Technical Platform Managers responsible for the HR data marketplace to align marketplace capabilities, user experience, and technical delivery with data product, semantic, and adoption priorities</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Partner with AI, data science, analytics, and knowledge management teams to ensure data assets are AI‑ready, responsibly designed, and fit for advanced use cases</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Enforce enterprise data quality publishing requirements in partnership with the Data Quality team</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Own portfolio‑level visibility and reporting on data product usage, marketplace adoption, intelligence coverage, and redundancy</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Identify</span><span><span> </span>and drive remediation of under‑</span><span>utilized</span><span>, duplicative, or misaligned data products or intelligence assets</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Serve as an escalation point for data intelligence, semantic, and marketplace decisions<span> </span></span><span>impacting</span><span><span> </span>multiple products, domains, or consumers</span></span><span> </span></p></li></ul></div><div><p></p><p><span><span>Qualifications</span></span><span> </span></p></div><div><p><span><span>Required:</span></span><span> </span></p></div><div><ul><li><p><span><span>Bachelor’s degree in Computer Science</span><span>, Data, Engineering, Information Systems, or a related field</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>7</span><span>&#43; years of experience owning or leading enterprise data<span> </span></span><span>products, analytics-ready datasets, or intelligence capabilities, with accountability for business outcomes</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated experience defining and operating data products, enterprise metrics, and business definitions in an enterprise environment</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong technical fluency<span> </span></span><span>in data modeling, analytics, consumption patterns, and AI-ready data design, with the ability to partner effectively with platform and engineering teams</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience determining<span> </span></span><span>appropriate representation</span><span><span> </span>models for structured and unstructured data, including</span><span><span> </span>relationship</span></span><span>‑</span><span><span><span> </span>and<span> </span></span><span>graph</span></span><span>‑</span><span><span>based</span><span><span> </span>approaches</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience owning p</span><span>roduct</span></span><span>‑</span><span><span>level outcomes, including<span> </span></span><span>adoption, reuse, usability, and value realization</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated ability to enforce enterprise standards across multiple teams, domains, and data products</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proven ability to influence decisions and outcomes across matrixed teams</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Excellent stakeholder communication skills, with the ability to translate complex platform topics into clear business decisions, tradeoffs, and priorities</span></span><span> </span></p></li></ul></div><div><p></p><p><span><span>Preferred:</span></span><span> </span></p></div><div><ul><li><p><span><span>Experience<span> </span></span><span>operating</span><span><span> </span>or scaling data marketplaces or self</span></span><span>‑</span><span><span>service data consumption platforms</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience enabling AI, machine learning, search, or knowledge</span></span><span>‑</span><span><span>based use cases through data product and semantic design</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with graph</span></span><span>‑</span><span><span>based data modeling approaches (e.g., Neo4j) for relationship</span></span><span>‑</span><span><span><span> </span>and knowledge</span></span><span>‑</span><span><span>centric data</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience<span> </span></span><span>operating</span><span><span> </span>in HR, people analytics, or workforce technology environments</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience partnering with data governance, data quality, privacy, security, and compliance teams in regulated or global organizations</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with product</span></span><span>‑</span><span><span>based or agile operating models in complex enterprise environments</span></span><span> </span></p></li></ul></div><div><p></p><p><span><span>Other:</span></span><span> </span></p></div><div><p><span><span>This position<span> </span></span><span>is located in</span><span><span> </span>New Brunswick,<span> </span></span><span>NJ</span><span><span> </span></span><span>full-time and may require up to 10% travel, both domestic and international.</span></span><span> </span></p><p></p><p>Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. </p><p></p><p>Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via <a href="https://www.jnj.com/contact-us/careers" target="_blank"><u>https://www.jnj.com/contact-us/careers</u></a> , internal employees contact AskGS to be directed to your accommodation resource.</p></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p></p><p></p><p><b>Required Skills:</b></p><p> </p><p> </p><p><b>Preferred Skills:</b></p>Analytical Reasoning, Consulting, Cost Management, Data Reporting, Human-Computer Interaction (HCI), Innovation, Performance Measurement, Product Development, Product Strategies, Project Management Methodology (PMM), Report Writing, Research and Development, Software Development Management, Strategic Supply Chain Management, Tactical Planning, Technical Credibility<p> </p><p> </p><p><b><span>The anticipated base pay range for this position is :</span></b></p>$122,000.00 - $212,750.00<p></p><p></p><p><u>Additional Description for Pay Transparency:</u></p>Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).<br><br>Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:<br><br>Vacation –120 hours per calendar year<br><br>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<br><br>Holiday pay, including Floating Holidays –13 days per calendar year<br><br>Work, Personal and Family Time - up to 40 hours per calendar year<br><br>Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child<br><br>Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year<br><br>Caregiver Leave – 80 hours in a 52-week rolling period10 days<br><br>Volunteer Leave – 32 hours per calendar year<br><br>Military Spouse Time-Off – 80 hours per calendar year<br><br>For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
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Company Name: Johnson & Johnson
Website:https://jj.wd5.myworkdayjobs.com/en-US/JJ/details/Senior-Data-Product-Manager---Data-Intelligence_R-080975-2
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