Job Listing Information
- 02-Nov-2026 to 16-Nov-2026 (UTC)
- Richmond, VA, USA
- Full Time
- Long Term Contract Length
- 40 Weekly Hours
Position Summary
- DBHDS is seeking an experienced Senior Business Analyst to advance 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 establish repeatable, sustainable, and measurable processes that embed governance principles into business operations and technology delivery.
- The ideal candidate is a skilled business analyst and facilitator who can analyze complex problems, interpret policies, elicit requirements, bring stakeholders together, and translate business needs into practical solutions.
- The role emphasizes governance by design, cross-functional collaboration, process improvement, and organizational adoption rather than hands-on technical development.
Key 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, 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, 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 actions for implementation.
- Document governance decisions, communicate requirements and outcomes to responsible teams, and coordinate follow-through to implementation.
- Foster collaboration and accountability for 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.
- 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 (Awareness, Risks, Issues, and Decisions — ARID), access governance, data sharing, automated data onboarding, Enterprise Master Person Index (EMPI) and reference data management, data quality improvement, compliance reviews, and data product requirements.
Required Qualifications
- 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 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 Qualifications
- 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 (e.g. DAMA-DMBOK, DMMI) and process improvement methodologies (BPMN, Lean, Six Sigma).
- Familiarity with AWS, Snowflake, Commonwealth of Virginia/VITA standards, or relevant professional 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.
Fill the skill matrix below:
|
Skill |
Required/Desired |
Amount |
Candidate's No. of years of experience |
|
Data Analysis |
Required |
10 |
|
|
Experience with Data Lineage / Cataloging |
Required |
10 |
|
|
Data Policy /Procedure creation |
Required |
10 |
|
|
Proficiency with SQL |
Required |
10 |
|
|
Datawarehouse Experience |
Required |
10 |
|
|
Requirements Elicitation |
Required |
10 |
|
|
Experience with Databases(Relational databases, SQL Server, Oracle , Snowflake etc) |
Required |
7 |
|