Director, Head of HR Data Services

Johnson & Johnson is recruiting for aDirectorHead ofHRData Serviceslocatedin New Brunswick NJ.

HR Data & Intelligence sits at the heart of Johnson & Johnsons 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 decisionsthey 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.

TheDirectorHead ofHRData Servicesis the senior-most leader accountable for the business strategy product ownership and value delivery of HRs enterprise data platform including the Medallion architecture in Databricksand HR products in the Data Marketplace.As the overall Business Product Owner this roleownsthe platformvision 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. TheDirector Head of HR Data Servicesworks in close partnership withtheTechnical 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 HRs 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 reuse and self-service

• Ensure the HR data marketplaceoperatesas 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 to align engineering execution with data product priorities

• Partnerwith Data Governance Privacy Security and HR AI leaders to ensure compliance ethical use and AI-readiness are embedded 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

Qualifications

Required:

• A minimum of aBachelors degree in Computer Science Information Systems Data Engineering or a related field is.

• 8 years progressive leadership experience owning enterprise data platforms as business products with accountability for strategy roadmap prioritization and value delivery

• Demonstrated experienceoperatingas 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 orlakehousepatterns) 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 productoriented operating model

• Demonstrated ability toestablishand enforce enterprise data standards that enable reuse selfservice 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 communication skills including the ability to translate complex data and platform concepts into clear business decisions and tradeoffs

Preferred:

• Experienceoperatingwithinan HR people analytics or workforce technology environment

• Experience partnering with data science analytics and AI teams to enable advanced use cases through platform and data product design

• Experience working closely with data governance privacy security and compliance teams to embed requirements into data products and platforms

• Experienceoperatingin a global organization with awareness of regional data privacy and residency considerations

• Familiarity with agile or productbased delivery models and embedded squad operating structures

Other:

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