Data Governance Analyst

Nexiva•Richmond, VA

2d•Hybrid

About The Position

The Data Governance Analyst will advance enterprise data governance by integrating people, processes, and technology. The role collaborates with data owners, data stewards, and enterprise partners to establish repeatable, sustainable, and measurable processes that embed governance principles in business operations and technology delivery. The position calls for 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. It emphasizes governance by design, cross-functional collaboration, process improvement, and organizational adoption rather than hands-on technical development. The analyst may lead or support prioritized initiatives involving governance decision processes (ARID), access governance, data sharing, automated data onboarding, EMPI and reference data management, data quality improvement, compliance reviews, and data product requirements. The position is based in Richmond, Virginia, with a hybrid schedule requiring two onsite days per week. The posting lists a rate of $60 per hour C2C and says candidates must be local; it specifies GC or USC only and both webcam and in-person interviews.

Requirements

Demonstrated senior-level business analysis, requirements elicitation, process improvement, and complex problem-solving experience.
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 implement sustainable business processes.
Ability to interpret policies, standards, and business requirements and translate them into practical operational processes and controls.
Working knowledge of enterprise data governance, including data ownership, stewardship, access governance, data quality, compliance, and lifecycle management.
Strong analytical, communication, stakeholder management, and organizational skills, with the ability to work independently and collaboratively.
10 years of data analysis experience.
10 years of experience with data lineage or cataloging.
10 years of experience creating data policies or procedures.
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.
Local candidate able to work onsite in Richmond, Virginia, two days per week.
GC or USC only.

Nice To Haves

Five or more years of experience in business analysis, process improvement, data governance, or enterprise data management.
Experience in government, healthcare, or another regulated environment.
Familiarity with enterprise data integration, interoperability, master and reference data management, and data products.
Knowledge of data governance frameworks such as DAMA-DMBOK or DCAM 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; equivalent professional experience and relevant certifications may be considered.

Responsibilities

Analyze business and data management processes to identify gaps, risks, inefficiencies, and opportunities for improvement.
Facilitate requirements gathering, root cause analysis, and current-state and future-state process design.
Translate governance policies and business requirements into actionable workflows, procedures, decision frameworks, and operational controls.
Develop process maps, business requirements, SOPs, RACI matrices, and performance measures.
Support implementation, automation, adoption, and continuous improvement of sustainable processes.
Lead 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 build consensus around practical solutions.
Clarify decision rights, responsibilities, dependencies, and required actions.
Document decisions, communicate outcomes to responsible teams, and coordinate follow-through to implementation.
Foster collaboration and accountability across business and technical stakeholders.
Support data owners and stewards in operationalizing governance policies, standards, and responsibilities.
Establish measures of governance effectiveness, stakeholder engagement, compliance, and data quality.
Facilitate data quality issue identification, root cause analysis, remediation, and continuous improvement.
Support access governance and data sharing 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 acquisition, integration, management, and consumption.
Facilitate business and analytical requirements to ensure enterprise data products meet consumer needs.
Lead or support initiatives involving ARID governance decision processes, access governance, data sharing, automated data onboarding, EMPI and reference data management, data quality improvement, compliance reviews, and data product requirements.