Enterprise Data Governance Consultant - Hybrid Nashville, TN

Job Description

Job Description

Enterprise Data Governance Consultant

Position Summary

The Enterprise Data Governance Consultant will support the State of Tennessee Center

for Enterprise Data Analytics (CEDA) in expanding enterprise data governance

services, AI data preparations, training, communications, stakeholder engagement, and

agency implementation support. This contractor position will work under the direction of

the Enterprise Data Governance Manager helping agencies and departments establish,

mature, and sustain data governance programs.

The role supports Tennessee’s enterprise approach to managing data as a strategic

asset, improving trusted data use, reducing risk, enabling secure data sharing, and

increasing efficiency through standardization. The State’s Enterprise Data Governance

Program is built around a coordinated Framework, Guidebook, and Playbook that define

the “why,” “what,” and “how” of statewide data governance implementation.

This position is intended for a consultant with strong public-sector facilitation, AI

governance, change management, training, communications, and data governance

implementation skills. The consultant will help translate governance concepts into

practical agency actions, including data strategy development, governance meeting

facilitation, stakeholder engagement, maturity assessments, implementation planning,

training delivery, and program communications.

Primary Responsibilities

AI Governance, Privacy, Risk, and Compliance Support

The contractor will help agencies incorporate responsible AI, privacy, security, and

compliance considerations into data governance practices. Responsibilities include:

Support agency awareness of AI governance concepts, including ethical, transparent,

explainable, accountable, and human-reviewed use of data and AI-enabled systems.

Help document AI-related data use cases, data sources, stewardship responsibilities,

risk considerations, and governance checkpoints.

Coordinate with appropriate privacy, security, legal, records, and compliance

stakeholders when governance activities involve sensitive, confidential, regulated, or

high-risk data.

Facilitate agency exploitation of AI technologies to establish practitioners to automate

and/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 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. Data Governance Strategy and Agency Engagement

The contractor will help agencies align data governance activities to business value,

mission priorities, compliance needs, and statewide data strategy. Responsibilities

include:

Support agency data governance planning, including charters, roadmaps, operating

models, stakeholder maps, and implementation plans.

Assist agencies in defining data governance scope, ownership, roles, responsibilities,

decision rights, and engagement processes.

Help identify agency value-based business needs, data pain points, data quality risks,

and opportunities for improved data sharing and reuse.

Support agency maturity assessments and develop practical work plans to close

governance gaps.

Translate technical data governance concepts into plain-language guidance suitable for

executives, business program staff, data stewards, and operational teams.

Promote consistent use of Tennessee’s eight core data governance elements:

Organization, Policies, Procedures, Standards/Definitions, Architecture, Data

Admin/Controls, Metrics/Reporting, and Audits.

Data Governance Implementation Support

The contractor will support agency use of statewide data governance tools, templates,

and documentation practices. Responsibilities include:

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.

Support documentation of data domains, data owners, data stewards, business

definitions, data flows, data quality rules, risks, controls, and metrics.

Assist agencies with Playbook-aligned implementation activities and evidence gathering

for audit readiness.

Coordinate with the Data Governance Analyst on catalog, metadata, data classification,

lineage, and related documentation needs.

Support agency use of governance metrics and maturity indicators to monitor progress

and demonstrate business value.

Maintain organized repositories of governance artifacts, meeting records, training

materials, communications, and implementation evidence.

Facilitation and Governance Meeting Support

The contractor will serve as a facilitator and working-session lead for agency

governance activities. Responsibilities include:

Plan, facilitate, and document agency data governance meetings, workshops, steering

committee sessions, and stewardship working groups.

Prepare agendas, meeting materials, decision logs, action item trackers, issue logs, and

executive-ready summaries.

Facilitate discussions among data owners, data stewards, business leaders, technology

teams, privacy, security, legal, and compliance stakeholders.

Support resolution of cross-functional data issues by clarifying decision points,

documenting options, identifying risks, and escalating unresolved matters.

Help agencies operationalize governance committees and recurring governance

cadences consistent with statewide guidance.

Support business value case development for data governance initiatives, including

benefits, risks, resource needs, expected outcomes, and implementation options.

Change Management, Communications, and Marketing

The contractor will help sustain adoption of data governance practices through clear

communications, change management planning, and program marketing.

Responsibilities include:

Develop and execute stakeholder engagement and change management plans for

agency data governance adoption.

Create communication products such as briefings, talking points, newsletters, intranet

content, FAQs, one-page summaries, presentations, and adoption messaging.

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

activity.

Communicate the value of data governance in terms of trusted data, reduced risk,

improved service delivery, better decision-making, and increased efficiency.

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.

Identify adoption barriers and recommend interventions such as targeted

communications, leadership briefings, training refreshers, job aids, and facilitation

support.

Training Development and Delivery

The contractor will help develop, maintain, and deliver data governance learning

products for state agencies. Responsibilities include:

Develop training plans, course outlines, instructor-led materials, self-service learning

content, quick reference guides, and role-based learning paths.

Deliver training for data owners, data stewards, data custodians, data producers, data

consumers, and agency governance teams.

Support data fluency training aligned to Tennessee’s enterprise data governance

methodology, tools, and templates.

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.

Coordinate training feedback, attendance, adoption metrics, and improvement

recommendations.

Reinforce data quality expectations, including accuracy, timeliness, accessibility,

completeness, and consistency. Tennessee’s Guidebook identifies these as five critical

data quality dimensions.

Required Knowledge, Skills, and Abilities

The successful contractor should demonstrate the ability to:

Facilitate cross-functional meetings with business, technology, privacy, security, legal,

compliance, and executive stakeholders.

Develop practical data governance strategies, implementation plans, training plans,

communications, and adoption materials.

Translate complex data governance, data management, metadata, data quality, privacy,

and AI governance concepts into plain language.

Build trust with agency stakeholders and guide groups toward decisions, documented

actions, and measurable progress.

Apply change management practices to support adoption of new roles, responsibilities,

processes, and governance behaviors.

Develop business value cases for data governance initiatives.

Support governance documentation aligned to frameworks, policies, procedures,

standards, controls, and audit expectations.

Understand data governance operating models, data ownership, data stewardship,

metadata, data catalogs, data quality, data lifecycle management, data sharing, and data

risk management.

Work independently while coordinating with the Enterprise Data Governance Manager,

Data Governance Analyst, and agency stakeholders.

Produce clear, professional, executive-ready written products.

Preferred Qualifications

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. Management, PMP, CISA, CIPM, or related credentials.

Relevant certifications are desirable but not required, such as CDMP, Prosci/Change