Enterprise Data Governance Consultant

Cb•Nashville, TN

6d•Hybrid

About The Position

The Enterprise Data Governance Consultant supports enterprise data governance strategy, implementation, stakeholder engagement, responsible AI, privacy, risk, compliance, change management, communications, and training. The role helps align governance activities to business value, mission priorities, compliance needs, and enterprise data strategy, while translating complex concepts into practical guidance for executives, program staff, data stewards, and operational teams. The position is hybrid in Nashville, Tennessee, with flexible work-from-home options available; there is a high preference for Tennessee locals. The consultant develops and maintains governance plans, operating models, roadmaps, artifacts, meeting processes, training materials, and adoption communications. The role facilitates governance councils, committees, workshops, and cross-functional working sessions; supports decisions and issue resolution; and helps monitor progress through governance metrics and maturity indicators. The contractor also supports responsible use of data and AI, including documenting use cases and risks, coordinating with privacy and compliance stakeholders, and reinforcing safeguards for sensitive or regulated data.

Requirements

4–6 years of experience supporting data governance, data management, enterprise information management, organizational change management, training, or stakeholder engagement programs.
Experience working with state government, local government, public-sector programs, or highly regulated environments.
Familiarity with DAMA-DMBOK, data stewardship, metadata management, data quality management, data classification, data lifecycle management, and data governance maturity models.
Experience developing and delivering training, workshops, presentations, job aids, communications, and adoption campaigns.
Experience supporting governance councils, committees, working groups, or cross-functional decision-making bodies.
Experience with enterprise data catalog, metadata, business glossary, data inventory, issue tracking, collaboration, or knowledge management tools.
Ability to facilitate cross-functional meetings with business, technology, privacy, security, legal, compliance, and executive stakeholders.
Ability to develop practical data governance strategies, implementation plans, training plans, communications, and adoption materials.
Ability to translate complex data governance, data management, metadata, data quality, privacy, and AI governance concepts into plain language.
Ability to build stakeholder trust and guide groups toward decisions, documented actions, and measurable progress.
Ability to apply change management practices to support adoption of new roles, responsibilities, processes, and governance behaviors.
Ability to develop business value cases for data governance initiatives.
Ability to support governance documentation aligned to frameworks, policies, procedures, standards, controls, and audit expectations.
Understanding of governance operating models, data ownership and stewardship, metadata, data catalogs, data quality, data lifecycle management, data sharing, and data risk management.
Ability to work independently while coordinating with the Enterprise Data Governance Manager, Data Governance Analyst, and stakeholders.
Ability to produce clear, professional, executive-ready written products.

Nice To Haves

Familiarity with AI governance concepts, responsible AI principles, or frameworks such as the NIST AI Risk Management Framework.
Relevant certifications are desirable but not required, such as CDMP, Prosci/Change Management, PMP, CISA, CIPM, or related credentials.
Tennessee local candidates are highly preferred.

Responsibilities

Support incorporating responsible AI, privacy, security, and compliance considerations into data governance practices.
Promote awareness of ethical, transparent, explainable, accountable, and human-reviewed use of data and AI-enabled systems.
Document AI-related data use cases, data sources, stewardship responsibilities, risk considerations, and governance checkpoints.
Coordinate with privacy, security, legal, records, and compliance stakeholders on governance activities involving sensitive, confidential, regulated, or high-risk data.
Facilitate the use of AI technologies to automate or streamline data governance practices and artifacts.
Reinforce requirements for data classification, access management, data minimization, authorized use, retention, and secure data sharing.
Document data-related risks, issues, policy exceptions, remediation actions, and audit evidence; promote appropriate safeguards for protected or regulated data.
Support data governance planning, including charters, roadmaps, operating models, stakeholder maps, and implementation plans.
Assist in defining governance scope, ownership, roles, responsibilities, decision rights, and engagement processes.
Identify business needs, data pain points, data quality risks, and opportunities for improved data sharing and reuse.
Support maturity assessments and develop work plans to address governance gaps.
Promote consistent use of the eight core data governance elements: Organization, Policies, Procedures, Standards/Definitions, Architecture, Data Admin/Controls, Metrics/Reporting, and Audits.
Complete and maintain governance artifacts such as RACI charts, business glossaries, data dictionaries, data inventories, issue logs, policy and procedure mappings, stewardship plans, and roadmaps.
Document data domains, owners, stewards, business definitions, data flows, quality rules, risks, controls, and metrics.
Support Playbook-aligned implementation activities and gather evidence for audit readiness.
Coordinate with the Data Governance Analyst on catalog, metadata, data classification, lineage, and related documentation needs.
Support governance metrics and maturity indicators, and maintain repositories of governance artifacts, meeting records, training materials, communications, and implementation evidence.
Plan, facilitate, and document governance meetings, workshops, steering committee sessions, and stewardship working groups.
Prepare agendas, meeting materials, decision logs, action trackers, issue logs, and executive-ready summaries.
Facilitate cross-functional discussions and support resolution of data issues by clarifying decision points, documenting options, identifying risks, and escalating unresolved matters.
Help operationalize governance committees and recurring governance cadences.
Support business value case development, including benefits, risks, resource needs, expected outcomes, and implementation options.
Develop and execute stakeholder engagement and change management plans for governance adoption.
Create communications such as briefings, talking points, newsletters, intranet content, FAQs, one-page summaries, presentations, and adoption messaging.
Promote data governance as a business-enabling capability and communicate its value for trusted data, reduced risk, improved service delivery, better decisions, and efficiency.
Identify adoption barriers and recommend interventions such as targeted communications, leadership briefings, training refreshers, job aids, and facilitation support.
Develop training plans, course outlines, instructor-led materials, self-service learning content, quick reference guides, and role-based learning paths.
Deliver training to data owners, stewards, custodians, producers, consumers, and governance teams.
Support data fluency training aligned to enterprise governance methodology, tools, and templates, using practical exercises on relevant governance topics.
Coordinate training feedback, attendance, adoption metrics, and improvement recommendations.
Reinforce data quality expectations, including accuracy, timeliness, accessibility, completeness, and consistency.
Work independently while coordinating with the Enterprise Data Governance Manager, Data Governance Analyst, and stakeholders.
Produce clear, professional, executive-ready written products.