Senior Data Governance Business Analyst

MasterApp Labs•Richmond, VA

5d•$45 - $50•Hybrid

About The Position

The Senior Data Governance Business Analyst analyzes business processes and data management practices to identify governance gaps, risks, inefficiencies, and opportunities for improvement. The role elicits requirements, conducts root cause analysis, and designs current- and future-state processes for governance initiatives. It translates policies, standards, business needs, and decisions into business requirements, workflows, procedures, and operational controls, and develops process maps, SOPs, RACI matrices, and performance measures to support implementation and accountability. The analyst facilitates cross-functional collaboration among data owners and stewards, business units, enterprise architecture, engineering, security, analytics, and external partners. The role helps stakeholders navigate competing priorities, clarify decision rights and responsibilities, document governance decisions, and coordinate their implementation. The position supports governance operations and continuous improvement, including data quality issue remediation, access governance, data sharing, data onboarding, integration, management, and consumption. It also elicits business and analytical requirements to help ensure governed enterprise data products meet consumer needs. Initiatives may include governance decision processes (ARID), automated data onboarding, EMPI and reference data management, compliance reviews, and data product requirements. The position is a contract role based in Richmond, Virginia, with a hybrid schedule requiring onsite work two days per week.

Requirements

Demonstrated senior-level business analysis, requirements elicitation, business process improvement, and complex problem-solving experience.
Advanced facilitation skills, including leading cross-functional sessions, navigating competing priorities, building consensus, and driving decisions to resolution.
Ability to analyze, design, document, and support implementation of sustainable business processes.
Ability to translate policies, standards, and business requirements into practical operational processes, business rules, and controls.
Working knowledge of enterprise data governance, 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.
Required data analysis experience: 10 years.
Required data lineage or cataloging experience: 10 years.
Required data policy and procedure creation experience: 10 years.
Required SQL proficiency: 10 years.
Required data warehouse experience: 10 years.
Required requirements elicitation experience: 10 years.
Required experience with databases such as relational databases, SQL Server, Oracle, or Snowflake: 7 years.

Nice To Haves

Experience supporting enterprise data governance initiatives, including governance process implementation, data stewardship, data quality, metadata, or access governance.
Experience 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 or DMMI, and process improvement methodologies such as BPMN, Lean, or Six Sigma.
Familiarity with AWS, Snowflake, Commonwealth of Virginia/VITA standards, or relevant professional certifications such as CDMP.
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.

Responsibilities

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 initiatives.
Translate governance policies, standards, business needs, and decisions into actionable requirements, workflows, procedures, and operational controls.
Develop process maps, business requirements, SOPs, RACI matrices, and performance measures.
Support process implementation, automation, adoption, and continuous improvement.
Facilitate cross-functional working sessions with data owners, stewards, business units, enterprise architecture, engineering, security, analytics, and external partners.
Help stakeholders reconcile competing priorities, evaluate alternatives, and reach informed governance decisions.
Clarify governance decision rights, responsibilities, dependencies, and implementation actions.
Document governance decisions, communicate requirements and outcomes, and coordinate follow-through.
Support data owners and stewards in implementing governance policies, standards, roles, and responsibilities.
Collaborate with enterprise partners to define, document, and monitor 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 by documenting and tracking authorized decisions, requirements, and conditions through implementation.
Help embed governance requirements into data onboarding, integration, management, and consumption.
Elicit and document business and analytical requirements for governed enterprise data products.
Lead or support initiatives involving ARID governance decision processes, access governance, data sharing, automated data onboarding, EMPI and reference data management, data quality, compliance reviews, and data product requirements.