This is a contract position for an Enterprise Data Governance Consultant to support public-sector agencies in Nashville, Tennessee on a hybrid basis. The engagement is intended for 9+ months and seeks a consultant with strong expertise in data governance, AI governance, change management, training, and stakeholder engagement.
Responsibilities
- 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 privacy, security, legal, records, and compliance stakeholders when governance activities involve sensitive, confidential, regulated, or high-risk data
- Facilitate agency use of AI technologies to automate and 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, and PII when relevant to agency operations
- 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
- 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 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
- 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, and 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
- 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