Enterprise Data Governance Consultant

EITACIES Inc.

. Support incorporation of responsible AI, privacy, security, and compliance considerations into data governance practices .

Posted 10/15/2026full-timeNashville • Tennessee • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance practices, including data classification, stewardship, and compliance with regulations such as HIPAA and FERPA. Proficient in developing training materials and facilitating cross-functional collaboration to enhance data management and governance strategies.

Highest-signal resume keywords

Data GovernanceAI Governance ConceptsTraining DevelopmentStakeholder EngagementData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StewardshipMetadata ManagementData Quality ManagementData Lifecycle ManagementData ClassificationData Governance Maturity ModelsChange ManagementData Risk ManagementData CatalogData Inventory

Soft Skills

FacilitationCommunicationCollaborationProblem-SolvingDocumentation

Tools & Technologies

Enterprise Data CatalogCollaboration ToolsKnowledge Management ToolsIssue Tracking ToolsBusiness Glossary

Certifications & Qualifications

CDMPProsci/Change ManagementPMPCISACIPM

Industry Keywords

Responsible AIPrivacySecurityComplianceRegulated DataPublic-Sector ProgramsDAMA-DMBOKNIST AI Risk Management FrameworkGovernance CheckpointsData Sharing

Tech Stack

Tools & technologies

PMP

About the role

Key responsibilities & impact

Support incorporation of responsible AI, privacy, security, and compliance considerations into data governance practices
Document AI-related data use cases, data sources, stewardship responsibilities, risk considerations, and governance checkpoints
Coordinate with privacy, security, legal, records, and compliance stakeholders regarding sensitive, confidential, regulated, or high-risk data
Help use 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
Support documentation of data-related risks, issues, policy exceptions, remediation actions, and audit evidence
Promote safeguards for protected or regulated data, including HIPAA, FERPA, CJIS, IRS Pub. 1075, PCI, FTI, and PII
Support data governance planning, including charters, roadmaps, operating models, stakeholder maps, and implementation plans
Assist in defining data 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 close governance gaps
Translate technical data governance concepts into plain-language guidance
Support governance tools, templates, documentation practices, and artifacts including RACI charts, business glossaries, data dictionaries, inventories, issue logs, stewardship plans, and roadmaps
Document data domains, owners, stewards, definitions, flows, quality rules, risks, controls, and metrics
Coordinate with the Data Governance Analyst on catalog, metadata, classification, lineage, and documentation needs
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 discussions among data owners, stewards, business leaders, technology teams, privacy, security, legal, and compliance stakeholders
Support resolution of cross-functional data issues and escalate unresolved matters
Develop stakeholder engagement, change management, communications, and program marketing plans
Create briefings, talking points, newsletters, intranet content, FAQs, one-page summaries, presentations, and adoption messaging
Identify adoption barriers and recommend targeted communications, leadership briefings, training refreshers, job aids, and facilitation support
Develop and deliver data governance training plans, course outlines, instructor-led materials, self-service content, quick reference guides, and role-based learning paths
Deliver training for data owners, stewards, custodians, producers, consumers, and governance teams
Coordinate training feedback, attendance, adoption metrics, and improvement recommendations
Reinforce data quality expectations including accuracy, timeliness, accessibility, completeness, and consistency

Requirements

What you’ll need

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
Familiarity with AI governance concepts, responsible AI principles, or frameworks such as the NIST AI Risk Management Framework
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 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
Understanding of data governance operating models, data ownership, data 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
Relevant certifications such as CDMP, Prosci/Change Management, PMP, CISA, CIPM, or related credentials are desirable but not required

Benefits

Comp & perks

401(k)
Flexible work from home options available