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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.

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Primary Responsibilities

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AI Governance, Privacy, Risk, and Compliance Support

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The contractor will help agencies incorporate responsible AI, privacy, security, and compliance considerations into data governance practices. Responsibilities include:

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Support agency awareness of AI governance concepts, including ethical, transparent, explainable, accountable, and human-reviewed use of data and AI-enabled systems.

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Help document AI-related data use cases, data sources, stewardship responsibilities, risk considerations, and governance checkpoints.

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Coordinate with appropriate privacy, security, legal, records, and compliance stakeholders when governance activities involve sensitive, confidential, regulated, or high-risk data.

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Facilitate agency exploitation of AI technologies to establish practitioners to automate and/or streamline data governance practices and artifacts.

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Reinforce requirements for data classification, access management, data minimization, authorized use, retention, and secure data sharing.

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Support documentation of data-related risks, issues, policy exceptions, remediation actions, and audit evidence.

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Promote 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.

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Data Governance Strategy and Agency Engagement

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The contractor will help agencies align data governance activities to business value, mission priorities, compliance needs, and statewide data strategy. Responsibilities include:

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Support agency data governance planning, including charters, roadmaps, operating models, stakeholder maps, and implementation plans.

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Assist agencies in defining data governance scope, ownership, roles, responsibilities, decision rights, and engagement processes.

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Help identify agency value-based business needs, data pain points, data quality risks, and opportunities for improved data sharing and reuse.

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Support agency maturity assessments and develop practical work plans to close governance gaps.

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Translate technical data governance concepts into plain-language guidance suitable for executives, business program staff, data stewards, and operational teams.

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Promote consistent use of Tennessee’s eight core data governance elements: Organization, Policies, Procedures, Standards/Definitions, Architecture, Data Admin/Controls, Metrics/Reporting, and Audits.

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Data Governance Implementation Support

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The contractor will support agency use of statewide data governance tools, templates, and documentation practices. Responsibilities include:

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Help 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.

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Support documentation of data domains, data owners, data stewards, business definitions, data flows, data quality rules, risks, controls, and metrics.

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Assist agencies with Playbook-aligned implementation activities and evidence gathering for audit readiness.

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Coordinate with the Data Governance Analyst on catalog, metadata, data classification, lineage, and related documentation needs.

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Support agency use of governance metrics and maturity indicators to monitor progress and demonstrate business value.

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Maintain organized repositories of governance artifacts, meeting records, training materials, communications, and implementation evidence.

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Facilitation and Governance Meeting Support

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The contractor will serve as a facilitator and working-session lead for agency governance activities. Responsibilities include:

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Plan, facilitate, and document agency data governance meetings, workshops, steering committee sessions, and stewardship working groups.

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Prepare agendas, meeting materials, decision logs, action item trackers, issue logs, and executive-ready summaries.

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Facilitate discussions among data owners, data stewards, business leaders, technology teams, privacy, security, legal, and compliance stakeholders.

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Support resolution of cross-functional data issues by clarifying decision points, documenting options, identifying risks, and escalating unresolved matters.

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Help agencies operationalize governance committees and recurring governance cadences consistent with statewide guidance.

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Support business value case development for data governance initiatives, including benefits, risks, resource needs, expected outcomes, and implementation options.

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Change Management, Communications, and Marketing

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The contractor will help sustain adoption of data governance practices through clear communications, change management planning, and program marketing. Responsibilities include:

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Develop and execute stakeholder engagement and change management plans for agency data governance adoption.

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Create communication products such as briefings, talking points, newsletters, intranet content, FAQs, one-page summaries, presentations, and adoption messaging.

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Promote data governance as a business-enabling capability, not only a compliance activity.

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Communicate the value of data governance in terms of trusted data, reduced risk, improved service delivery, better decision-making, and increased efficiency.

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Support 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.

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Identify adoption barriers and recommend interventions such as targeted communications, leadership briefings, training refreshers, job aids, and facilitation support.

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Training Development and Delivery

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The contractor will help develop, maintain, and deliver data governance learning products for state agencies. Responsibilities include:

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Develop training plans, course outlines, instructor-led materials, self-service learning content, quick reference guides, and role-based learning paths.

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Deliver training for data owners, data stewards, data custodians, data producers, data consumers, and agency governance teams.

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Support data fluency training aligned to Tennessee’s enterprise data governance methodology, tools, and templates.

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Create 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.

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Coordinate training feedback, attendance, adoption metrics, and improvement recommendations.

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Reinforce data quality expectations, including accuracy, timeliness, accessibility, completeness, and consistency. Tennessee’s Guidebook identifies these as five critical data quality dimensions.

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Required Knowledge, Skills, and Abilities

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The successful contractor should demonstrate the ability to:

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Facilitate cross-functional meetings with business, technology, privacy, security, legal, compliance, and executive stakeholders.

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Develop practical data governance strategies, implementation plans, training plans, communications, and adoption materials.

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Translate complex data governance, data management, metadata, data quality, privacy, and AI governance concepts into plain language.

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Build trust with agency stakeholders and guide groups toward decisions, documented actions, and measurable progress.

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Apply change management practices to support adoption of new roles, responsibilities, processes, and governance behaviors.

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Develop business value cases for data governance initiatives.

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Support governance documentation aligned to frameworks, policies, procedures, standards, controls, and audit expectations.

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Understand data governance operating models, data ownership, data stewardship, metadata, data catalogs, data quality, data lifecycle management, data sharing, and data risk management.

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Work independently while coordinating with the Enterprise Data Governance Manager, Data Governance Analyst, and agency stakeholders.

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Produce clear, professional, executive-ready written products.

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Preferred Qualifications

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1. Experience supporting data governance, data management, enterprise information management, organizational change management, training, or stakeholder engagement programs.

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Skill Level: Proficient / 4–6 Years

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2. Experience working with state government, local government, public-sector programs, or highly regulated environments.

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Skill Level: Proficient / 4–6 Years

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3. Familiarity with DAMA-DMBOK, data stewardship, metadata management, data quality management, data classification, data lifecycle management, and data governance maturity models.

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Skill Level: Proficient / 4–6 Years

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4. Familiarity with AI governance concepts, responsible AI principles, or frameworks such as the NIST AI Risk Management Framework.

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Skill Level: Proficient / 4–6 Years

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5. Experience developing and delivering training, workshops, presentations, job aids, communications, and adoption campaigns.

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Skill Level: Proficient / 4–6 Years

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6. Experience supporting governance councils, committees, working groups, or cross-functional decision-making bodies.

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Skill Level: Proficient / 4–6 Years

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7. Experience with enterprise data catalog, metadata, business glossary, data inventory, issue tracking, collaboration, or knowledge management tools.

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Skill Level: Proficient / 4–6 Years

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8. Relevant certifications are desirable but not required, such as CDMP, Prosci/Change Management, PMP, CISA, CIPM, or related credentials.

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Skill Level: Proficient / 4–6 Years

Vacancy posted 3 days ago
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