Senior Data Governance Analyst

Job Description

Job Description

Senior Data Governance Analyst
*This is a 1-year contract position
*Hybrid position (2 days/week onsite) – Local to Richmond, VA only, please

Description
Seeking an experienced Senior Data Governance Analyst to support the implementation and continuous improvement of enterprise data governance through the effective integration of people, processes, and technology.
The position will collaborate with data owners, data stewards, and enterprise partners to translate governance policies, standards, and decisions into repeatable, sustainable, and measurable business processes that embed data governance into operations and technology delivery.

The ideal candidate is a skilled business analyst and facilitator with a strong understanding of data governance principles who can analyze complex business and data management challenges, interpret policies, elicit requirements, facilitate cross-functional decisions, and translate governance needs into practical solutions.
The role emphasizes governance by design, business process improvement, stakeholder collaboration, operational accountability, and organizational adoption rather than hands-on technical development.

Responsibilities
Data Governance Business Analysis and Process Improvement

• Analyze business processes and data management practices to identify governance gaps, risks, inefficiencies, and improvement opportunities.
• Facilitate requirements elicitation, root cause analysis, and current-state and future-state process design for governance-related initiatives.
• Translate governance policies, standards, business needs, and decisions into actionable business requirements, workflows, procedures, and operational controls.
• Develop process maps, business requirements, standard operating procedures (SOPs), RACI matrices, and performance measures to support governance implementation and accountability.
• Support process implementation, automation, adoption, and continuous improvement to establish sustainable governance practices.

Governance Facilitation and Enterprise Collaboration

• Facilitate cross-functional working sessions involving data owners, data stewards, business units, enterprise architecture, engineering, security, analytics, and external partners.
• Facilitate complex discussions, reconcile competing priorities, evaluate alternatives, and support informed governance decisions by authorized stakeholders.
• Clarify governance decision rights, responsibilities, dependencies, and required implementation actions.
• Document governance decisions, communicate requirements and outcomes to responsible teams, and coordinate follow-through to implementation.
• Foster collaboration and accountability to ensure consistent application of governance practices across business and technical stakeholders.

Data Governance Operations and Continuous Improvement

• Support data owners and stewards in implementing governance policies, standards, roles, and responsibilities within operational processes.
• Collaborate with data owners, stewards, and enterprise partners to define, document, and monitor meaningful measures of governance effectiveness, stakeholder engagement, compliance, and data quality.
• Facilitate data quality issue identification, root cause analysis, remediation planning, and continuous improvement.
• Support data access governance and data-sharing processes by ensuring authorized decisions, requirements, and conditions are clearly documented, communicated to execution teams, and tracked through implementation.
• Collaborate with enterprise partners to embed governance requirements into data onboarding, integration, management, and consumption processes.
• Elicit and document business and analytical requirements to help ensure governed enterprise data products meet consumer needs.

Areas of Contribution
The analyst may lead or support prioritized initiatives involving:

• Governance decision processes, including Awareness, Risks, Issues, and Decisions (ARID).
• Data access governance.
• Data sharing.
• Automated data onboarding.
• Enterprise Master Person Index (EMPI).
• Reference data management.
• Data quality improvement.
• Compliance reviews.
• Data product requirements.

Skills/Knowledge/Experience:

• Demonstrated experience in senior-level business analysis, requirements elicitation, business process improvement, and complex problem-solving.
• 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 support the implementation of sustainable business processes.
• Ability to interpret policies, standards, and business requirements and translate them into practical operational processes, business rules, and controls.
• Working knowledge of enterprise data governance concepts, including data ownership, stewardship, access governance, data quality, compliance, and data lifecycle management.
• Strong analytical, communication, stakeholder management, and organizational skills, with the ability to work independently and collaboratively.
• Five or more years of experience in business analysis, requirements elicitation, process improvement, or related enterprise business functions.

Preferred Skills/Knowledge/Experience:

• Experience supporting enterprise data governance initiatives, including governance process implementation, data stewardship, data quality, metadata, or access governance.
• Experience working in government, healthcare, or another regulated environment.
• Familiarity with enterprise data integration, interoperability, master and reference data management, and governed data products.
• Knowledge of data governance frameworks, such as DAMA-DMBOK and DMMI, and process improvement methodologies, such as BPMN and Lean Six Sigma.
• Familiarity with AWS, Snowflake, Commonwealth technology standards, or relevant professional certifications such as CDMP.

Required Skills/Knowledge/Experience:  

• Data Analysis – Required: 10 Years
• Experience with Data Lineage/Cataloging – Required: 10 Years
• Data Policy/Procedure Creation – Required: 10 Years
• Proficiency with SQL – Required: 10 Years
• Data Warehouse Experience – Required: 10 Years
• Requirements Elicitation – Required: 10 Years
• Experience with Databases (Relational Databases, SQL Server, Oracle, Snowflake, etc.) – Required: 7 Years

Education

• A Bachelor's degree in information systems, business administration, information management, or a related field is preferred.
• Equivalent professional experience and relevant certifications may be considered.

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