Sr Data Governance Analyst - Richmond, VA Hybrid

Nexiva•Richmond, VA
•Hybrid

About The Position

The Senior Data Governance Analyst will support the implementation and continuous improvement of enterprise data governance by integrating people, processes, and technology. The role works with data owners, data stewards, and enterprise partners to translate governance policies, standards, and decisions into repeatable, sustainable, and measurable business processes embedded in operations and technology delivery. It emphasizes governance by design, 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. The position is a long-term contract in a hybrid setting in Richmond, Virginia. The client will decide whether interviews are conducted by webcam or in person.

Requirements

  • At least five years of experience in business analysis, requirements elicitation, process improvement, or related enterprise business functions.
  • 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 interpret policies, standards, and business requirements and translate them into 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, and the ability to work independently and collaboratively.
  • The skills table lists 10 years for data analysis, data lineage/cataloging, data policy/procedure creation, SQL proficiency, data warehouse experience, and requirements elicitation.
  • The skills table lists 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, or Commonwealth of Virginia/VITA standards.
  • Relevant professional certifications, such as CDMP.
  • A bachelor's degree in information systems, business administration, information management, or a related field; 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.
  • Elicit requirements, conduct root cause analysis, and design current-state and future-state processes for governance initiatives.
  • Translate governance policies, standards, business needs, and decisions into business requirements, workflows, procedures, and operational controls.
  • Develop process maps, business requirements, standard operating procedures, RACI matrices, and performance measures.
  • Support process implementation, automation, adoption, and continuous improvement of sustainable governance practices.
  • Facilitate cross-functional working sessions with data owners, stewards, business units, enterprise architecture, engineering, security, analytics, and external partners.
  • Facilitate complex discussions, reconcile competing priorities, evaluate alternatives, and support informed decisions by authorized stakeholders.
  • Clarify governance decision rights, responsibilities, dependencies, and implementation actions.
  • Document governance decisions and requirements, communicate outcomes to responsible teams, and coordinate follow-through.
  • Support data owners and stewards in implementing governance policies, standards, roles, and responsibilities in operational processes.
  • 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 authorized decisions, requirements, and conditions and tracking them through implementation.
  • Help 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service