Job ID: TN-66422
Hybrid/Local Govt Data Governance PM (PMP/CISA/CIPM/CDMP/Prosci/Change) with AI Governance, AI Risk Framework, Data Management/MDM, HIPAA, FERPA, CJIS, IRS Pub. 1075, PCI, FTI, PII experience
Location: Nashville, TN (F&A STS)
Duration: 8 Months
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
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 Tennessees 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 States 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 Tennessees 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
Tennessees 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 res, 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 Tennessees 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. Tennessees Guidebook identifies these as five critical
data quality dimensions.
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