OverviewThe Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders.
Provide 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.
Benefits:• Comprehensive Medical, Dental, and Vision Insurance• Employer-Paid Life Insurance• Employer-Paid Short-Term and Long-Term Disability Insurance• 401(k) • Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays• Educational Assistance
Salary: 104k-122k
**Can be 100% remote in TX, VA, MD, DC, or FL**
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
- Encryption 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
- Perform other duties as assigned
Qualifications
- 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:
- 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
**BRMi will not sponsor applicants for work visas for this position.**
**This is a W2 opportunity only**
