Data Governance Program Consultant
ESG Consulting Inc
Job Description
Our client is seeking Data Governance Program Consultant for a Hybrid contract role in Nashville, TN.
\n \nPrimary Responsibilities
\nAI Governance, Privacy, Risk, and Compliance Support
\nThe contractor will help agencies incorporate responsible AI, privacy, security, and compliance considerations into data governance practices. Responsibilities include:
\nSupport agency awareness of AI governance concepts, including ethical, transparent, explainable, accountable, and human-reviewed use of data and AI-enabled systems.
\nHelp document AI-related data use cases, data sources, stewardship responsibilities, risk considerations, and governance checkpoints.
\nCoordinate with appropriate privacy, security, legal, records, and compliance stakeholders when governance activities involve sensitive, confidential, regulated, or high-risk data.
\nFacilitate agency exploitation of AI technologies to establish practitioners to automate and/or streamline data governance practices and artifacts.
\nReinforce requirements for data classification, access management, data minimization, authorized use, retention, and secure data sharing.
\nSupport documentation of data-related risks, issues, policy exceptions, remediation actions, and audit evidence.
\nPromote appropriate safeguards for protected or regulated data, including HIPAA, FERPA, CJIS, IRS Pub. 1075, PCI, FTI, PII, and other applicable standards when relevant to agency operations.
\n \nData Governance Strategy and Agency Engagement
\nThe contractor will help agencies align data governance activities to business value, mission priorities, compliance needs, and statewide data strategy. Responsibilities include:
\nSupport agency data governance planning, including charters, roadmaps, operating models, stakeholder maps, and implementation plans.
\nAssist agencies in defining data governance scope, ownership, roles, responsibilities, decision rights, and engagement processes.
\nHelp identify agency value-based business needs, data pain points, data quality risks, and opportunities for improved data sharing and reuse.
\nSupport agency maturity assessments and develop practical work plans to close governance gaps.
\nTranslate technical data governance concepts into plain-language guidance suitable for executives, business program staff, data stewards, and operational teams.
\nPromote consistent use of Tennessee’s eight core data governance elements: Organization, Policies, Procedures, Standards/Definitions, Architecture, Data Admin/Controls, Metrics/Reporting, and Audits.
\n \nData Governance Implementation Support
\nThe contractor will support agency use of statewide data governance tools, templates, and documentation practices. Responsibilities include:
\nHelp agencies complete governance artifacts such as RACI charts, business glossaries, data dictionaries, data inventories, data issue logs, policy/procedure mappings, stewardship plans, and governance roadmaps.
\n \nSupport documentation of data domains, data owners, data stewards, business definitions, data flows, data quality rules, risks, controls, and metrics.
\nAssist agencies with Playbook-aligned implementation activities and evidence gathering for audit readiness.
\nCoordinate with the Data Governance Analyst on catalog, metadata, data classification, lineage, and related documentation needs.
\nSupport agency use of governance metrics and maturity indicators to monitor progress and demonstrate business value.
\nMaintain organized repositories of governance artifacts, meeting records, training materials, communications, and implementation evidence.
\n \nFacilitation and Governance Meeting Support
\nThe contractor will serve as a facilitator and working-session lead for agency governance activities. Responsibilities include:
\nPlan, facilitate, and document agency data governance meetings, workshops, steering committee sessions, and stewardship working groups.
\nPrepare agendas, meeting materials, decision logs, action item trackers, issue logs, and executive-ready summaries.
\nFacilitate discussions among data owners, data stewards, business leaders, technology teams, privacy, security, legal, and compliance stakeholders.
\nSupport resolution of cross-functional data issues by clarifying decision points, documenting options, identifying risks, and escalating unresolved matters.
\nHelp agencies operationalize governance committees and recurring governance cadences consistent with statewide guidance.
\nSupport business value case development for data governance initiatives, including benefits, risks, resource needs, expected outcomes, and implementation options.
\n \nChange Management, Communications, and Marketing
\nThe contractor will help sustain adoption of data governance practices through clear communications, change management planning, and program marketing. Responsibilities include:
\nDevelop and execute stakeholder engagement and change management plans for agency data governance adoption.
\nCreate communication products such as briefings, talking points, newsletters, intranet content, FAQs, one-page summaries, presentations, and adoption messaging.
\nPromote data governance as a business-enabling capability, not only a compliance activity.
\nCommunicate the value of data governance in terms of trusted data, reduced risk, improved service delivery, better decision-making, and increased efficiency.
\nSupport messaging for managing data as an enterprise asset, consistent with Tennessee’s data governance policy principles. The Guidebook states that data is recognized as a valued and strategic enterprise asset and that accountability, quality, and compliance must be clearly defined and managed.
\nIdentify adoption barriers and recommend interventions such as targeted communications, leadership briefings, training refreshers, job aids, and facilitation support.
\n \nTraining Development and Delivery
\nThe contractor will help develop, maintain, and deliver data governance learning products for state agencies. Responsibilities include:
\nDevelop training plans, course outlines, instructor-led materials, self-service learning content, quick reference guides, and role-based learning paths.
\nDeliver training for data owners, data stewards, data custodians, data producers, data consumers, and agency governance teams.
\nSupport data fluency training aligned to Tennessee’s enterprise data governance methodology, tools, and templates.
\nCreate practical exercises using agency-relevant examples such as data ownership, business glossary terms, data quality dimensions, data classification, data sharing, metadata, and governance meeting practices.
\nCoordinate training feedback, attendance, adoption metrics, and improvement recommendations.
\nReinforce data quality expectations, including accuracy, timeliness, accessibility, completeness, and consistency. Tennessee’s Guidebook identifies these as five critical data quality dimensions.
\n \nRequired Knowledge, Skills, and Abilities
\nThe successful contractor should demonstrate the ability to:
\nFacilitate cross-functional meetings with business, technology, privacy, security, legal, compliance, and executive stakeholders.
\nDevelop practical data governance strategies, implementation plans, training plans, communications, and adoption materials.
\nTranslate complex data governance, data management, metadata, data quality, privacy, and AI governance concepts into plain language.
\nBuild trust with agency stakeholders and guide groups toward decisions, documented actions, and measurable progress.
\nApply change management practices to support adoption of new roles, responsibilities, processes, and governance behaviors.
\nDevelop business value cases for data governance initiatives.
\nSupport governance documentation aligned to frameworks, policies, procedures, standards, controls, and audit expectations.
\nUnderstand data governance operating models, data ownership, data stewardship, metadata, data catalogs, data quality, data lifecycle management, data sharing, and data risk management.
\nWork independently while coordinating with the Enterprise Data Governance Manager, Data Governance Analyst, and agency stakeholders.
\nProduce clear, professional, executive-ready written products.
\n \nPreferred Qualifications
\n1. Experience supporting data governance, data management, enterprise information management, organizational change management, training, or stakeholder engagement programs.
\nSkill Level: Proficient / 4–6 Years
\n2. Experience working with state government, local government, public-sector programs, or highly regulated environments.
\nSkill Level: Proficient / 4–6 Years
\n3. Familiarity with DAMA-DMBOK, data stewardship, metadata management, data quality management, data classification, data lifecycle management, and data governance maturity models.
\nSkill Level: Proficient / 4–6 Years
\n4. Familiarity with AI governance concepts, responsible AI principles, or frameworks such as the NIST AI Risk Management Framework.
\nSkill Level: Proficient / 4–6 Years
\n5. Experience developing and delivering training, workshops, presentations, job aids, communications, and adoption campaigns.
\nSkill Level: Proficient / 4–6 Years
\n6. Experience supporting governance councils, committees, working groups, or cross-functional decision-making bodies.
\nSkill Level: Proficient / 4–6 Years
\n7. Experience with enterprise data catalog, metadata, business glossary, data inventory, issue tracking, collaboration, or knowledge management tools.
\nSkill Level: Proficient / 4–6 Years
\n8. Relevant certifications are desirable but not required, such as CDMP, Prosci/Change Management, PMP, CISA, CIPM, or related credentials.
\nSkill Level: Proficient / 4–6 Years
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