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Director, Head of HR Data Services
Job in
New Brunswick, Middlesex County, New Jersey, 08933, USA
Listed on 2026-06-20
Listing for:
Johnson & Johnson
Full Time
position Listed on 2026-06-20
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager
Job Description & How to Apply Below
Director, Head of HR Data Services
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 transforms workforce signals into strategic advantage.
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, Business Platform Managers, and the Data Quality function.
- Establish and enforce enterprise standards for data products, including data domains, contracts, quality thresholds, metadata, documentation, and ownership models that enable reuse and self‑service.
- Ensure the HR data marketplace operates as a trusted system of record for analytics‑ready data products used by analytics teams, data science, AI workflows, HR digital products, and executive reporting.
- Own the data intake and demand management model for HR, ensuring new data sources and use cases are translated into durable data products rather than one‑off pipelines.
- Ensure all HR analytics teams, data science teams, product squads, and AI initiatives consume data through the enterprise data platform and marketplace, preventing bespoke, shadow, or duplicative data solutions.
- Act as the primary business customer and decision‑maker for technical platform delivery, working in close partnership with the Technical Platform Manager.
- Partner with Data Governance, Privacy, Security, and HR AI leaders to embed compliance, ethical use, and AI‑readiness into data product design and platform strategy.
- Own the business outcomes of the data platform and marketplace, including adoption, usability, reliability, cost efficiency, and enablement of downstream insights and automation.
- Develop and lead a high‑performing, globally distributed team with strong product mindset, clear accountability, and deep understanding of HR data consumers.
- Continuously evolve the data product and platform strategy based on emerging trends in data marketplaces, analytics engineering, and AI‑ready architectures.
- A minimum of a Bachelor’s degree in Computer Science, Information Systems, Data, Engineering, or a related field.
- 8+ years progressive leadership experience owning enterprise data platforms as business products, with accountability for strategy, roadmap, prioritization, and value delivery.
- Demonstrated experience operating as a Business Product Owner for data or platform capabilities, translating business and product needs into durable data products.
- Strong technical fluency in modern data architectures (e.g., medallion, layered, or lakehouse patterns) with the ability to partner effectively with engineering and platform teams.
- Proven experience defining and governing data products and data marketplaces, including data product scope, metadata, documentation, quality standards, and lifecycle management.
- Experience leading and developing data product stewards, platform managers, and data quality teams in a product‑oriented operating model.
- Demonstrated ability to establish and enforce enterprise data standards that enable reuse, self‑service, and analytics readiness across multiple consumer groups.
- Strong stakeholder leadership skills, with the ability to influence senior HR, Digital, and Technology leaders and align competing priorities.
- Excellent executive…
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