Senior Data Product Manager - Data Intelligence

Johnson & Johnson Innovative Medicine • New Brunswick, NJ

1d • $122,000 - $212,750 • Hybrid

About The Position

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: Technology Product & Platform Management Job Sub Function: Technical Product Management Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Product Manager, Data Intelligence & Marketplace, located in New Brunswick, NJ. Remote work options may be considered on a case-by-case basis and if approved by the Company. Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science—bringing innovative ideas, products and services to advance the health and well-being of people. With a global footprint spanning more than 250 operating companies and a workforce of over 125,000 employees, Johnson & 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 & Johnson offers the opportunity to make a lasting impact. Thriving on a diverse company culture, we celebrate the uniqueness of our employees and are committed to inclusion. Johnson & Johnson is proud to be an equal opportunity employer. HR Data & Intelligence sits at the heart of Johnson & 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 & 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. Within this ecosystem, Data Services is the business-owned data platform capability that ensures HR data is trusted, scalable, and analytics-ready. Purpose: The Senior Data Product Manager, Data Intelligence & Marketplace is a senior business product leader within HR Data & Intelligence, accountable for the definition, enablement, and enterprise adoption of HR data products, platinum-layer business definitions and metrics, and marketplace‑based consumption. Reporting to the Head of Data Services, this role owns the business outcomes of HR data products and the HR data marketplace that enable processes, analytics, AI, and digital HR experiences at scale. This role ensures that HR data is not only physically available, but meaningfully defined, productized where appropriate, discoverable, reusable, and decision‑ready 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 data—including graph‑based modeling for relationship‑ and knowledge‑centric data—independent of marketplace publication.

Requirements

• Bachelor’s degree in Computer Science, Data, Engineering, Information Systems, or a related field
• 7+ years of experience owning or leading enterprise data products, analytics-ready datasets, or intelligence capabilities, with accountability for business outcomes
• Demonstrated experience defining and operating data products, enterprise metrics, and business definitions in an enterprise environment
• Strong technical fluency in data modeling, analytics, consumption patterns, and AI-ready data design, with the ability to partner effectively with platform and engineering teams
• Experience determining appropriate representation models for structured and unstructured data, including relationship‑ and graph‑based approaches
• Experience owning product‑level outcomes, including adoption, reuse, usability, and value realization
• Demonstrated ability to enforce enterprise standards across multiple teams, domains, and data products
• Proven ability to influence decisions and outcomes across matrixed teams
• Excellent stakeholder communication skills, with the ability to translate complex platform topics into clear business decisions, tradeoffs, and priorities

Nice To Haves

• Experience operating or scaling data marketplaces or self‑service data consumption platforms
• Experience enabling AI, machine learning, search, or knowledge‑based use cases through data product and semantic design
• Familiarity with graph‑based data modeling approaches (e.g., Neo4j) for relationship‑ and knowledge‑centric data
• Experience operating in HR, people analytics, or workforce technology environments
• Experience partnering with data governance, data quality, privacy, security, and compliance teams in regulated or global organizations
• Familiarity with product‑based or agile operating models in complex enterprise environments

Responsibilities

• Own the business strategy and execution of HR data products, Platinum‑layer business definitions and metrics, and the HR data marketplace
• Ensure HR data is productized where appropriate, discoverable, reusable, and decision‑ready to support analytics, AI, and HR digital experiences
• Act as the business owner of data product and marketplace outcomes, including adoption, reuse, usability, and value realization
• Define and maintain canonical HR entities, metrics, and relationships used consistently across analytics, AI models, and digital products
• Own and manage data product lifecycles, including definition, evolution, consolidation, and retirement, in partnership with Data Product Stewards
• Determine appropriate representation models for structured and unstructured data, including graph‑based modeling for relationship‑ and knowledge‑centric data, independent of marketplace publication
• Serve as the enterprise decision authority on reuse versus bespoke data assets across HR domains and product teams
• Ensure consistent implementation of enterprise standards for data product contracts, metadata, documentation, ownership, and semantic consistency
• Partner with the Data Platform Senior Manager, Lakehouse Strategy & Enablement to ensure semantic and intelligence requirements are supported by the physical lakehouse platform
• 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
• 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
• Enforce enterprise data quality publishing requirements in partnership with the Data Quality team
• Own portfolio‑level visibility and reporting on data product usage, marketplace adoption, intelligence coverage, and redundancy
• Identify and drive remediation of under‑utilized, duplicative, or misaligned data products or intelligence assets
• Serve as an escalation point for data intelligence, semantic, and marketplace decisions impacting multiple products, domains, or consumers

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 period
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior