Technical Data Steward
System One · Virginia Beach, VA · 1 mo ago
Information TechnologyContract
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
- 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
- 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