Technical Data Steward

Overview

The Technical Data Steward ensures HR data is accurate, secure, and compliant with governance standards. This hands-on role manages risk inventories, executes risk workflows, performs data quality checks, and builds dashboards to monitor trends. Acting as a technical advisor, you'll maintain data lineage, implement governance frameworks, and partner with stakeholders to resolve data issues and strengthen enterprise data controls.

Responsibilities

• Maintain and update HR data risk inventories and trackers, including critical data elements, applications, AI/analytics use cases, vendors, and data transfers.
• Execute and coordinate HR risk workflows (AI assessments, application risk reviews, access reviews, vendor/data transfer reviews) with full documentation and audit readiness.
• Perform data quality checks using SQL and Excel (completeness, duplicates, out-of-range values); log issues, assign owners, and track remediation.
• Build and refresh dashboards and reports showing control coverage, issues, and trends across HR Data Risk, AI Risk, and Data Quality.
• Translate HR Data Risk Framework into practical SOPs, checklists, and process maps for repeatable processes.
• Capture and maintain data lineage and technical metadata attributes.
• Provide technical expertise for source systems, ETL processes, data stores, data warehouses, and BI tools.
• Oversee and assess data-access controls; support incident response for unauthorized data access.
• Partner with stakeholders to implement standards, controls, and technical solutions in accordance with enterprise data governance policies.
• Organize and package evidence (logs, reports, approvals) for governance forums, audits, and performance reviews.
• Support AI and advanced analytics governance by assisting with intake forms and updating registries.
• Serve as a point of contact for technical data issues and collaborate with HR stakeholders, technology, vendor management, and risk partners.
• Other duties as assigned
  
  

Qualifications

• 5+ years of relevant experience in one or more:

  • Data governance, data quality, data stewardship, risk/compliance, IT/Audit or analytics/ BI in a regulated environment (Financial services or similar preferred)

• Practical experience with:

  • SQL for querying and joining datasets

  • At least one BI reporting tool (PowerBI, Tableau)

  • Advanced Excel (Pivot tables, lookups filters) for data checks and analysis

• Demonstrated ability to:

  • Execute and improve data quality or control processes (even if not labeled that way)

  • Drive initiatives/ workstreams with minimal oversight-organize work, coordinate stakeholders and deliver outcomes

  • Excellent root cause analysis and problem-solving skills.

• Strong written and verbal communication skills

  • Capable of translating technical/data details into clear, business-relevant messages

• Experience with:

  • Data Governance concepts (CDEs, data ownership, lineage, data controls)

  • Risk/governance tooling data catalogs, ticketing/work management (Service Now, GRC)

  • Exposure to AI/ML or advanced analytics governance (model risk, AI intake processes, etc)

  • Exposure to Python/R or similar for light analysis/automation (nice to have, not required)

Desired Qualifications:

• Masters degree in Computer Science, Information Technology, or related field (or equivalent experience).

• Technical program management or consulting

Hours: Monday - Friday, 8:00AM - 4:30PM

Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Dr Pensacola, FL 32526

About Us