Senior Business Analyst – Enterprise Data Governance

Job Description

We are seeking an experienced Senior Business Analyst – Enterprise Data Governance to support the Virginia Department of Behavioral Health and Developmental Services (DBHDS) in advancing enterprise data governance initiatives.

The ideal candidate will have strong business analysis, requirements gathering, process improvement, and stakeholder facilitation skills, along with working knowledge of enterprise data governance, data quality, data stewardship, access governance, and compliance.

This role will focus on translating governance policies and business requirements into sustainable business processes, operational workflows, decision frameworks, and controls. The successful candidate will collaborate with business and technical stakeholders to improve governance practices, drive cross-functional alignment, and support the implementation and continuous improvement of enterprise data management processes.

Key Responsibilities

• Analyze existing business and data management processes to identify gaps, risks, inefficiencies, and opportunities for improvement.
• Lead requirements elicitation, stakeholder interviews, root cause analysis, and current-state/future-state process design.
• Translate data governance policies, standards, and business requirements into actionable workflows, SOPs, process maps, RACI matrices, and operational controls.
• Facilitate cross-functional working sessions involving data owners, data stewards, business units, enterprise architecture, engineering, security, analytics, and external partners.
• Resolve competing priorities, evaluate alternatives, build consensus, and drive business decisions to resolution.
• Document business decisions, roles, responsibilities, dependencies, action items, and implementation plans.
• Support the implementation, adoption, automation, and continuous improvement of enterprise governance processes.
• Help operationalize data ownership, stewardship, data quality, access governance, data sharing, compliance, and data lifecycle management practices.
• Facilitate data quality issue identification, root cause analysis, remediation planning, and ongoing performance monitoring.
• Define and track governance performance measures, stakeholder engagement, compliance, and data quality metrics.
• Support access governance and data sharing processes by documenting approvals, requirements, authorized conditions, and implementation status.
• Collaborate with enterprise partners to embed governance requirements into data acquisition, integration, management, and consumption processes.
• Gather and document business and analytical requirements to ensure enterprise data products meet stakeholder and consumer needs.

Required Qualifications

• Strong experience in senior-level business analysis, requirements gathering, process improvement, and complex problem-solving.
• Proven ability to facilitate cross-functional stakeholder meetings, manage competing priorities, build consensus, and drive decisions.
• Experience analyzing, designing, documenting, and implementing sustainable business processes.
• Ability to interpret policies, standards, and business requirements and translate them into operational workflows and controls.
• Working knowledge of enterprise data governance, including data ownership, data stewardship, access governance, data quality, compliance, and data lifecycle management.
• Excellent analytical, communication, documentation, organizational, and stakeholder management skills.
• Ability to work independently and collaboratively with business and technical teams.

Preferred Qualifications

• 5+ years of experience in business analysis, process improvement, data governance, or enterprise data management.
• Experience working in government, healthcare, or other regulated environments.
• Familiarity with enterprise data integration, interoperability, master data management, reference data management, and data products.
• Knowledge of data governance frameworks such as DAMA-DMBOK or DCAM.
• Familiarity with process modeling and improvement methodologies such as BPMN, Lean, or Six Sigma.
• Exposure to AWS, Snowflake, Commonwealth of Virginia/VITA standards, or relevant data management certifications such as CDMP.

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.