Technical Data Steward

Responsibilities

• Data Governance & Standards
• Implement and enforce enterprise data governance policies, standards, and procedures
• Ensure execution of governance workstreams, including:
• Metadata management
• Enterprise quality controls
• AI ready metadata
• Data quality
• Data lifecycle management
• Policies and standards compliance
• Monitor adherence to technical data standards and drive compliance across the business area
• Data Management & Technical Oversight
• Own technical data decisions on behalf of the Business Data Owner
• Provide subject matter expertise on:
• Source systems
• Data stores and warehouses
• ETL processes and pipelines
• Business intelligence tools
• Ensure proper implementation of data across systems and platforms
• 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)
• 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 initiatives
• Security & Risk Management
• Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as:
• Role-based access (RBAC)
• Persona based access
• Row level access
• Cryptography and data protection standards
• Ensure data confidentiality, integrity, and availability across platforms
• Stakeholder Collaboration
• Partner with:
• Business Data Stewards
• Data Owners
• Data Engineering / IT teams
• Translate business requirements into technical data solutions
• Communicate impacts of data decisions across stakeholder groups

Qualifications and Skill Requirements

• Ability to work seamlessly and professionally across multiple business units and with all levels of the organization
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Data warehousing concepts (Azure)
• Data integration / ETL processes (SQL Server, DataBricks, Azure)
• Data quality and data lifecycle management
• Enterprise platforms (e.g., data catalogs, BI tools, integration tools)
• Data governance frameworks and best practices
• Metadata management, lineage, and cataloging
• Master data management (MDM)
• Experience implementing data governance capabilities across an organization

Desired Skills

• Strong analytical and problem-solving skills
• Ability to translate complex technical concepts for non-technical stakeholders
• Attention to detail and commitment to data accuracy
• Effective cross-functional communication and collaboration
• Oracle HCM / PeopleSoft data experience
• Cloud data platforms (Azure Data Lake, Power BI)
• Regulatory and HR reporting alignment