Data Governance Analyst

TOMORROW HIRE•Richmond, VA

1d•$44 - $64•Hybrid

About The Position

The Data Governance Analyst is a senior business analysis and facilitation resource supporting enterprise data governance initiatives for the Virginia Department of Behavioral Health and Developmental Services (DBHDS). This CDC-funded contract role focuses on integrating people, processes, policies, and technology to establish repeatable, sustainable, and measurable governance processes. The analyst works with data owners and stewards, business units, enterprise architecture, engineering, security, analytics teams, and external partners. The position analyzes complex business and data-management challenges; interprets policies and standards; elicits requirements; and translates organizational needs into workflows, procedures, decision frameworks, and operational controls. It supports data quality, access governance, data sharing, enterprise data integration, and data product requirements, facilitating cross-functional collaboration and implementation of governance decisions. The role emphasizes governance strategy, stakeholder facilitation, operational process design, and organizational adoption rather than hands-on application development, while requiring sufficient technical data knowledge to assess governance issues and work effectively with technology teams. This is a hybrid contract position in Richmond, Virginia. The analyst must work on-site in Richmond two days per week, with remote work on remaining scheduled workdays subject to agency requirements. Candidates must physically reside in the United States throughout the assignment and be available for a follow-up in-person interview if requested. The stated assignment dates are November 16, 2026, through November 30, 2027. The pay range is $44–$64 per hour.

Requirements

At least 10 years of experience in data analysis.
At least 10 years of experience with data lineage and data cataloging.
At least 10 years of experience creating data policies, procedures, and related governance documentation.
At least 10 years of experience using SQL for data analysis and related enterprise data activities.
At least 10 years of experience working with data warehouses and enterprise data warehousing environments.
At least 10 years of experience eliciting, analyzing, and documenting business or data requirements.
At least 7 years of experience working with relational databases and database platforms such as SQL Server, Oracle, Snowflake, or comparable technologies.
Demonstrated senior-level business analysis, process improvement, and complex problem-solving capabilities.
Advanced facilitation skills, including leading cross-functional working sessions, navigating competing priorities, building consensus, and driving decisions to resolution.
Proven ability to analyze, design, document, and implement sustainable business processes.
Ability to interpret governance policies, organizational standards, and business requirements and translate them into practical processes and controls.
Working knowledge of enterprise data governance principles, including data ownership, stewardship, access governance, data quality, compliance, and data lifecycle management.
Strong analytical, written communication, verbal communication, stakeholder management, and organizational skills.
Ability to work independently and collaboratively with business and technical teams.
Must work on-site in Richmond, Virginia, two days per week.
Must be available for a follow-up in-person interview if requested by the hiring manager.
Must physically reside within the United States throughout the assignment in accordance with Commonwealth of Virginia security policies.
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Nice To Haves

Bachelor's degree in Information Systems, Business Administration, Information Management, or a related field; equivalent professional experience and relevant certifications may be considered.
Experience in government, healthcare, or other regulated environments.
Familiarity with enterprise data integration, interoperability, master and reference data management, and enterprise data products.
Knowledge of data governance frameworks such as DAMA-DMBOK and DCAM.
Familiarity with process improvement methodologies such as BPMN, Lean, or Six Sigma.
Experience with AWS, Snowflake, and Commonwealth of Virginia/VITA standards.
Certified Data Management Professional (CDMP) certification or other relevant professional certifications.
Local residency in the Richmond, Virginia, metropolitan area.

Responsibilities

Analyze business and enterprise data-management processes to identify gaps, risks, inefficiencies, and improvement opportunities.
Facilitate requirements gathering, root-cause analysis, and current-state and future-state process design.
Translate governance policies and business requirements into workflows, procedures, decision frameworks, and operational controls.
Develop business requirements documentation, process maps, standard operating procedures, RACI matrices, and performance measures.
Support implementation, automation, adoption, and continuous improvement of sustainable business processes.
Collaborate with data owners and data stewards to operationalize enterprise data governance policies, standards, and responsibilities.
Develop and refine data governance procedures, workflows, and accountability structures.
Support governance decision processes, including ARID-related initiatives.
Establish measures of governance effectiveness, stakeholder engagement, compliance, and data quality.
Promote governance-by-design practices across enterprise data operations and technology delivery.
Analyze enterprise datasets, data flows, and data-management processes to support governance objectives.
Evaluate data lineage, cataloging practices, and metadata-management requirements.
Identify data quality issues and facilitate root-cause analysis and remediation planning.
Apply SQL and database knowledge to data analysis and governance-related investigations.
Collaborate with data engineering and analytics teams to improve data transparency, consistency, and usability.
Lead cross-functional workshops involving business stakeholders, data owners, stewards, enterprise architecture, engineering, security, and analytics teams.
Gather, analyze, validate, and document complex business and data governance requirements.
Facilitate discussions involving competing priorities and build consensus around practical solutions.
Clarify decision rights, responsibilities, dependencies, and required actions; document decisions, communicate outcomes, and coordinate implementation follow-through.
Support access governance by documenting authorization requirements, decision criteria, and operational controls.
Facilitate data-sharing requirements and coordinate with responsible teams to implement approved decisions.
Support compliance reviews and continuous improvement of governance procedures.
Collaborate with enterprise partners to embed governance requirements into data acquisition, integration, management, and consumption, and help align activities with organizational policies and standards.
Support automated data onboarding, enterprise master patient index (EMPI), and master and reference data management initiatives.
Collaborate with enterprise technology teams on data warehouse and database-related governance requirements.
Facilitate requirements for data integration, interoperability, and enterprise data products.
Evaluate data-management challenges and recommend sustainable process improvements.
Support alignment between business requirements, data governance objectives, and technical implementation activities.
Define and maintain measures for governance effectiveness, process adoption, compliance, and data quality.
Prepare documentation and communicate findings to business and technical stakeholders.
Identify opportunities to streamline governance workflows and improve organizational accountability.
Support continuous improvement across enterprise data-management operations.
Track decisions, dependencies, and implementation progress for prioritized governance activities.