Sr Data Governance Analyst - Hybrid Richmond, VA

Novalink Solutions LLC•Richmond, VA

3d•Hybrid

About The Position

DBHDS is seeking an experienced Senior Data Governance Analyst to support the implementation and continuous improvement of enterprise data governance through the integration of people, processes, and technology. The role works with data owners, data stewards, and enterprise partners to turn governance policies, standards, and decisions into repeatable, sustainable, and measurable business processes embedded in operations and technology delivery. The position calls for a skilled business analyst and facilitator with a strong understanding of data governance. The analyst will address complex business and data management challenges, interpret policies, elicit requirements, facilitate cross-functional decisions, and translate governance needs into practical solutions. The work emphasizes governance by design, business process improvement, stakeholder collaboration, operational accountability, and organizational adoption rather than hands-on technical development. 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.

Requirements

Demonstrated senior-level experience in 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.
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.
10 years of data analysis experience.
10 years of data lineage/cataloging experience.
10 years of data policy/procedure creation experience.
10 years of SQL proficiency.
10 years of data warehouse experience.
10 years of requirements elicitation experience.
7 years of experience with databases, including relational databases, SQL Server, Oracle, or Snowflake.

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 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.
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 implementation actions.
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.
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 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 documenting authorized decisions, requirements, and conditions, communicating them to execution teams, and tracking 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.
Lead or support prioritized 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.