Senior Data Product Manager - Data Intelligence

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—bringinginnovative ideas,productsand 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 & Johnsonisproud 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: TheSenior Data ProductManager,Data Intelligence&Marketplaceis a senior businessproduct leader within HR Data & Intelligence,accountablefor the definition, enablement, and enterprise adoption of HR data products,platinum-layer business definitions and metrics, andmarketplace‑basedconsumption. Reporting to theHead of Data Services, this role owns the business outcomes of HR data products and the HR data marketplace that enableprocesses,analytics, AI, and digital HR experiences at scale.

This role ensures that HR data is not only physically available, but meaningfully defined, productized whereappropriate, discoverable, reusable, anddecision‑readyacross 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 unstructureddata—includinggraph‑basedmodeling for relationship‑andknowledge‑centricdata—independent of marketplace publication.

Key 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 whereappropriate, 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 andmaintaincanonicalHR 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

• Determineappropriate representationmodels 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 physicallakehouseplatform

• 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

• Identifyand drive remediation of under‑utilized, duplicative, or misaligned data products or intelligence assets

• Serve as an escalation point for data intelligence, semantic, and marketplace decisionsimpactingmultiple products, domains, or consumers

Qualifications

Required:

• Bachelor’s degree in Computer Science, Data, Engineering, Information Systems, or a related field

• 7+ years of experience owning or leading enterprise dataproducts, 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 fluencyin data modeling, analytics, consumption patterns, and AI-ready data design, with the ability to partner effectively with platform and engineering teams

• Experience determiningappropriate representationmodels for structured and unstructured data, includingrelationship‑andgraph‑basedapproaches

• Experience owning product‑level outcomes, includingadoption, 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

Preferred:

• Experienceoperatingor 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

• Experienceoperatingin 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

Other:

This positionis located inNew Brunswick,NJfull-time and may require up to 10% travel, both domestic and international.

Johnson & 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. 

Johnson & 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 https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.