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Director, Head of HR Data Services

Job in New Brunswick, Middlesex County, New Jersey, 08901, USA
Listing for: J&J Family of Companies
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Job Description & How to Apply Below
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 Med Tech, 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  

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:*
* Multi-Family Technology Product & Platform Management

** Job Category:*
* People Leader

** All Job Posting Locations:*
* New Brunswick, New Jersey, United States of America

*
* Job Description:

*
* Johnson & Johnson is recruiting for a  
** Director,*
* ** Head of*
* ** HR*
* ** Data Services** , located in New Brunswick, NJ.

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.

The Director, Head of HR Data Services is the senior-most leader accountable for the business strategy, product ownership, and value delivery of HR's enterprise data platform, including the Medallion architecture in Databricks and HR products in the Data Marketplace. As the overall Business Product Owner, this role owns the platform vision, roadmap, prioritization, standards, and outcomes, and leads a dedicated team of data product stewards embedded within HR product squads, business platform managers, and the data quality function.

Together, these teams translate HR business and product needs into clear data requirements, ensure high-quality and reusable data assets, and drive adoption of the enterprise platform across HR. The Director, Head of HR Data Services works in close partnership with the Technical Platform Manager, acting as the primary business customer for technical delivery while ensuring that engineering execution aligns to business priorities and product outcomes.

Key Responsibilities:

+ Serve as the overall Business Product Owner for HR's enterprise data platform, owning the vision, roadmap, prioritization, standards, and value realization for the Medallion architecture in Databricks

+ Own the definition, lifecycle management, and success of HR data products, including how data products are named, scoped, documented, governed, and surfaced within the HR data marketplace

+ Lead the Data Services business organization, including:

+ Data Product Stewards embedded within HR product squads who translate business and product needs into data product requirements andmaintainthose products within the data marketplace

+ Business Platform Managers who manage platform-level intake, prioritization, roadmap sequencing, and cross-product dependencies

+ The Data Quality function, accountable for the accuracy, completeness, and trustworthiness of data products published to the marketplace

+ Establish and enforce enterprise standards for data products, including data domains, contracts, quality thresholds, metadata, documentation, and ownership models that enable…
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