Enterprise Data Governance Consultant- Local to TN
Centstone
Location: Tennessee
Job Type: Contract
Op Position Summary
We are seeking an experienced Enterprise Data Governance Consultant to support enterprise data governance initiatives across public-sector organizations. The consultant will help agencies establish, implement, and improve data governance programs, with a focus on AI governance, data quality, privacy, compliance, stakeholder engagement, change management, and training.
The ideal candidate will have experience facilitating cross-functional discussions, developing governance strategies, creating implementation roadmaps, delivering training, and translating complex data governance concepts into practical business solutions.
Key ResponsibilitiesData Governance Strategy and Implementation
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Develop and support data governance strategies, frameworks, roadmaps, operating models, and implementation plans.
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Assist with defining data ownership, stewardship responsibilities, decision rights, and governance processes.
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Conduct governance maturity assessments and recommend improvements.
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Develop and maintain data dictionaries, business glossaries, data inventories, RACI matrices, data quality rules, and governance documentation.
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Support data classification, metadata management, data lineage, data lifecycle management, and data quality initiatives.
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Align governance activities with business objectives, organizational policies, and compliance requirements.
AI Governance, Privacy, Risk, and Compliance
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Support responsible AI governance practices, including transparency, accountability, explainability, and human oversight.
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Document AI use cases, data sources, ownership, risk considerations, and governance checkpoints.
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Coordinate with privacy, security, legal, records management, and compliance stakeholders.
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Support data protection, access management, data minimization, retention, and secure data-sharing practices.
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Assist with risk documentation, policy exceptions, remediation plans, and audit evidence.
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Promote awareness of applicable standards and regulations, including HIPAA, FERPA, CJIS, IRS Publication 1075, PCI, FTI, and PII, where relevant.
Stakeholder Engagement and Facilitation
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Plan and facilitate governance meetings, workshops, steering committee sessions, and working groups.
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Prepare meeting agendas, presentations, decision logs, action trackers, and executive summaries.
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Collaborate with business leaders, data owners, data stewards, IT teams, and compliance stakeholders.
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Identify data-related challenges, facilitate decision-making, and track action items through resolution.
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Communicate governance concepts and recommendations to technical and non-technical audiences.
Change Management and Communications
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Develop stakeholder engagement and change management plans to improve adoption of data governance practices.
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Prepare presentations, newsletters, FAQs, talking points, job aids, and executive briefings.
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Identify adoption challenges and recommend strategies to improve stakeholder participation.
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Communicate the business value of data governance, including improved data quality, reduced risk, better decision-making, and operational efficiency.
Training and Knowledge Development
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Develop training plans, course materials, presentations, quick reference guides, and self-service learning resources.
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Deliver training to data owners, data stewards, data custodians, data producers, data consumers, and governance teams.
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Create practical exercises covering data ownership, data quality, classification, metadata, and data-sharing practices.
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Track training attendance, feedback, adoption metrics, and improvement opportunities.
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Maintain organized repositories of governance documentation, training materials, meeting records, and implementation evidence.
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Experience in data governance, data management, enterprise information management, organizational change management, or related consulting roles.
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Strong understanding of data governance frameworks, operating models, data ownership, and data stewardship.
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Experience developing governance strategies, implementation roadmaps, policies, procedures, and supporting documentation.
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Strong stakeholder management, facilitation, communication, and presentation skills.
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Experience developing and delivering training programs, workshops, and change management initiatives.
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Understanding of data quality, metadata management, business glossaries, data catalogs, data classification, and data lifecycle management.
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Knowledge of AI governance, responsible AI principles, data privacy, risk management, and compliance practices.
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Ability to translate complex technical concepts into clear, actionable business guidance.
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Experience preparing executive-ready reports, presentations, meeting documentation, and implementation plans.
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Ability to work independently and collaborate with cross-functional teams.
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Experience supporting state government, local government, public-sector programs, or highly regulated industries.
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Familiarity with DAMA-DMBOK and data governance maturity models.
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Knowledge of the NIST AI Risk Management Framework or other responsible AI governance frameworks.
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Experience with enterprise data catalogs, metadata management tools, business glossaries, data inventories, and collaboration platforms.
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Experience supporting governance councils, steering committees, or enterprise-wide transformation initiatives.
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Relevant certifications such as CDMP, PMP, CISA, CIPM, or Prosci Change Management are desirable but not mandatory.
Thanks & Regards,
Adarsh Mallik | IT Recruiter
View email address on us.fitly.work | View phone number on us.fitly.work
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