Director, Head of HR Data Services

Johnson & Johnson Johnson & Johnson · Pharma · New Brunswick, NJ +1

Johnson & Johnson is seeking a Director, Head of HR Data Services to lead the business strategy, product ownership, and value delivery of HR's enterprise data platform. This role involves owning the platform vision, roadmap, prioritization, standards, and outcomes, and leading a team of data product stewards, business platform managers, and data quality functions. The goal is to ensure HR data is trusted, scalable, and analytics-ready, enabling downstream insights, automation, and AI workflows.

What you'd actually do

  1. 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
  2. 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
  3. 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 and maintain those 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
  4. 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
  5. 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

Skills

Required

  • Enterprise data platforms
  • Business product ownership
  • Data product management
  • Data governance
  • Data quality
  • Team leadership
  • Stakeholder management
  • Databricks
  • Medallion architecture

Nice to have

  • HR data consumers
  • Analytics engineering
  • Data marketplaces

What the JD emphasized

  • AI workflows
  • AI initiatives
  • AI-readiness