Technical Data Steward

Job Description

Basic DescriptionProvide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives.

Responsibilities1. Data Governance & Standards• Implement and enforce enterprise data governance policies, standards, and procedures• Ensure execution of governance workstreams, including:    o Metadata management    o Enterprise quality controls    o AI ready metadata    o Data quality    o Data lifecycle management    o Policies and standards compliance• Monitor adherence to technical data standards and drive compliance across the business area2. Data Management & Technical Oversight• Own technical data decisions on behalf of the Business Data Owner• Provide subject matter expertise on:    o Source systems    o Data stores and warehouses    o ETL processes and pipelines    o Business intelligence tools• Ensure proper implementation of data across systems and platforms3. Metadata, Lineage & Cataloging• Build and maintain a data catalog, including metadata and business glossary• Ensure data definitions, rules, and standards are clearly documented and consistently applied• Capture and maintain data lineage (end-to-end technical flows)4. Data Quality & Issue Resolution• Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams• Assist in design and implementation data quality audits, controls, and monitoring tools• Plan and lead data cleansing and remediation initiatives5. Security & Risk Management• Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as:    o Role-based access (RBAC)    o Persona based access    o Row level access    o Encryption and data protection standards• Ensure data confidentiality, integrity, and availability across platforms6. Stakeholder Collaboration• Partner with:    o Business Data Stewards    o Data Owners    o Data Engineering / IT teams• Translate business requirements into technical data solutions• Communicate impacts of data decisions across stakeholder groups