We are recruiting for a SeniorHR Data StewardlocatedinSao Paulo, Brazil or Bogota, Colombia

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 Senior HRData Stewardis anindividual contributor responsible fordata stewardship within definedHR domains. Reporting to the Senior Manager, HR Data Stewardship & Demand, this role is embedded within HR product squads and serves as the primary steward forassigned HR domain areas

This role partners closely with HR product teams, process owners, and Data Platform teams to ensure HR business processes, policies, and decisions are accurately translated into clear, durable, and reusable data definitions and requirements. The SeniorHR Data Stewardfocuses on execution and consistency, operating within established stewardship frameworks and escalating cross-domain or high-ambiguity issues as needed.

Key Responsibilities

• Own data stewardship for one or moredefinedHR domains,ensuring consistency, accuracy, and alignment with enterprise standards

• Develop deep understanding of HR business processes, policies, and workflows within assigned domains, using that knowledge to identify and articulate data needs

• Proactively identify implicit or emerging data needs embedded within HR workflows, product designs, and decision points, even when no explicit data request exists

• Translate complex business problems into clear, actionable data definitions and stewardship requirements that support analytics, data products, and digital HR experiences

• Serve as the data steward embedded within HR product squadof assigned HR domain area, partnering closely with product owners, designers, and engineers throughout discovery and delivery

• Resolve data definitionquestions and inconsistencies within assigned domains, escalating cross-domain or high-impact conflicts as appropriate

• Partner with Data Platform and Technical Platform teams tosupport implementation of stewarded requirements within established patterns

• Collaborate with Data Quality and Governance partners to ensure stewardship outputs align with quality thresholds, standards, and compliance requirements

• Support demand intake and sequencing for assigned domains, in partnershipwith the Senior Manager, HR Data Stewardship & Demand Execution

• Contribute to the evolution of HR data stewardship practices, templates, and standards by sharing patterns and lessons learned from complex domains

Qualifications

Required:

• Bachelor’s degree in Human Resources, Business, Information Systems, Data, or a related field

• 3-5years of experience working at the intersection of HR business domains, data, and digital or analytics enablement

• Demonstrated experience stewardingbusiness data within defined domains, including maintaining consistent definitions and supporting analytics and product needs

• Strong understanding of HR processes, policies, and operating models, with the ability to translate business reality into data requirements

• Proven ability to identify and frame data needs embedded within workflows and experiences, not just respond to explicit requests

• Experience working closely with product teams, analytics teams, or data platform teams in a matrixed environment

• Strong analytical and communication skills, with the ability to explain complex data concepts in business terms

Preferred:

• Experience embedded within product squads, agile teams, or HR transformation initiatives

• Familiarity with modern data platforms, data products, analytics, or AI‑enabled use cases

• Experience partnering with data platform, data quality, governance, privacy, or security teams

• Exposure tobusiness architecture, process design, product discovery, with a data‑centric lens