Enterprise Data Governance Consultant Job Nashville area,Tennessee USA,IT/Tech

Benefits:

401(k)

Enterprise Data Governance Consultant / Mid Level Project Manager
Hybrid - Nashville, TN
High preference for TN Locals Experience Level: Proficient / 4-6 Years

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.

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

Primary Responsibilities

AI Governance, Privacy, Risk, and Compliance Support. The contractor will help incorporate responsible AI, privacy, security, and compliance considerations into data governance practices.

Support 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 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 operations.

Data Governance Strategy and Engagement.

The contractor will help align data governance activities to business value, mission priorities, compliance needs, and enterprise data strategy.

Support data governance planning, including charters, roadmaps, operating models, stakeholder maps, and implementation plans.
Assist in defining data governance scope, ownership, roles, responsibilities, decision rights, and engagement processes.
Help identify value-based business needs, data pain points, data quality risks, and opportunities for improved data sharing and reuse.
Support 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 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 the use of data governance tools, templates, and documentation practices.

Help 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 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 the 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…