Data Governance Analyst
Richmond, VA
W-2 Contract
Position Summary
We are seeking a Data Governance Analyst to support enterprise data governance initiatives. This role focuses on metadata management, data lineage, data quality, and business glossary development. The analyst will work cross-functionally to ensure data assets are well-defined, governed, and aligned to organizational standards.
Key Responsibilities
Data Governance & Metadata
- Maintain and administer the enterprise business glossary, data dictionary, and data taxonomy
- Support implementation and ongoing use of data catalog and metadata management tools
- Identify and document critical data elements and associated metadata
- Monitor and maintain metadata artifacts, addressing gaps, inconsistencies, and issues
Data Lineage & Modeling
- Develop and maintain end-to-end data lineage diagrams from source systems through transformation to consumption layers
- Ensure lineage documentation is accurate, up to date, and accessible to both technical and business users
- Support development and maintenance of data models
Data Quality
- Define and implement data quality rules, thresholds, and validation checks for critical data elements
- Perform data quality and metadata audits, document findings, and track remediation efforts
Data Catalog & Glossary Management
- Maintain a centralized data catalog and associated business metadata
- Support onboarding of new data sources
- Help define and standardize business terms and classifications
Tools & Operations
- Use workflow and task tracking tools (e.g., JIRA) to manage work and provide status updates
- Leverage Power Platform tools to support process automation where applicable
- Respond to stakeholder inquiries and troubleshoot data governance-related issues
Required Qualifications
- 3–5 years of hands-on experience in data governance, including:
- Metadata management and curation
- Data lineage development
- Business glossary management
- Data quality rule definition and validation
- Experience with data catalog or metadata tools (e.g., Microsoft Purview, Collibra, Informatica, Alation)
- Working knowledge of SQL and data systems/infrastructure
- Strong attention to detail and organizational skills
- Effective written and verbal communication skills
- Familiarity with data governance frameworks and best practices (e.g., DAMA-DMBOK)
Preferred Qualifications
- Experience in cloud or big data environments (e.g., Azure)
- Certifications in data, analytics, or cloud platforms
- Experience with data quality tools or profiling platforms
- Familiarity with data quality dimensions (e.g., completeness, accuracy, consistency, timeliness)
- Experience with Microsoft Power Platform
Additional Information
- Strong self-management skills, including tracking progress, identifying risks, and supporting mitigation activities
- May require flexibility to support business needs or operational priorities
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
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