Enterprise Data Governance Consultant

Oorwin AI; Nashville (TN); On-site; USD 110,000 - 150,000; Full time

Job summary

Oorwin AI is seeking an Enterprise Data Governance Consultant for a government-domain client in the United States. You will support state agencies in establishing and improving enterprise data governance programs, and develop governance strategies, roadmaps, charters, operating models, and implementation plans.

Engage diverse stakeholders across business, technology, privacy, security, legal, and compliance to deliver executive-ready documentation and governance artifacts while advancing AI

Qualifications

• Experience with data governance, data management, enterprise information management, or organizational change management.
• Strong stakeholder engagement, facilitation, communication, and training skills.
• Knowledge of data ownership, data stewardship, metadata, data quality, data lifecycle management, and data risk management.
• Ability to translate complex technical and governance concepts into clear, practical guidance.
• Experience developing governance strategies, implementation plans, training materials, and executive-ready documentation.
• Experience working with government, public-sector, or highly regulated environments is preferred.
• Familiarity with DAMA-DMBOK, NIST AI Risk Management Framework, AI governance, or related frameworks is preferred.
• Relevant certifications such as CDMP, Prosci, PMP, CISA, or CIPM are desirable but not required.

Responsibilities

• Support state agencies in establishing and improving enterprise data governance programs.
• Develop data governance strategies, roadmaps, charters, operating models, and implementation plans.
• Support AI governance, privacy, security, compliance, data classification, risk management, and responsible AI practices.
• Facilitate governance meetings, workshops, steering committees, and stakeholder working sessions.
• Develop governance artifacts including RACI charts, business glossaries, data dictionaries, data inventories, issue logs, and stewardship plans.
• Support data quality, metadata, data lineage, data sharing, and governance maturity assessments.
• Develop and deliver training, presentations, job aids, communications, and change management materials.
• Engage business, technology, privacy, security, legal, compliance, and executive stakeholders.

Skills

Data governance

Stakeholder engagement

Facilitation

Training delivery

Data management

Governance frameworks

Regulated environments

AI risk frameworks

Certifications desirable

Job description

One of our clients in the government domain is seeking an Enterprise Data Governance Consultant.

Responsibilities:

• Support state agencies in establishing and improving enterprise data governance programs.
• Develop data governance strategies, roadmaps, charters, operating models, and implementation plans.
• Support AI governance, privacy, security, compliance, data classification, risk management, and responsible AI practices.
• Facilitate governance meetings, workshops, steering committees, and stakeholder working sessions.
• Develop governance artifacts including RACI charts, business glossaries, data dictionaries, data inventories, issue logs, and stewardship plans.
• Support data quality, metadata, data lineage, data sharing, and governance maturity assessments.
• Develop and deliver training, presentations, job aids, communications, and change management materials.
• Engage business, technology, privacy, security, legal, compliance, and executive stakeholders.

Required Skills/Qualifications:

• Experience with data governance, data management, enterprise information management, or organizational change management.
• Strong stakeholder engagement, facilitation, communication, and training skills.
• Knowledge of data ownership, data stewardship, metadata, data quality, data lifecycle management, and data risk management.
• Ability to translate complex technical and governance concepts into clear, practical guidance.
• Experience developing governance strategies, implementation plans, training materials, and executive-ready documentation.
• Experience working with government, public-sector, or highly regulated environments is preferred.
• Familiarity with DAMA-DMBOK, NIST AI Risk Management Framework, AI governance, or related frameworks is preferred.
• Relevant certifications such as CDMP, Prosci, PMP, CISA, or CIPM are desirable but not required.