Enterprise Data Governance Consultant

Key Responsibilities

• Support enterprise data governance strategy, policies, frameworks, operating models, roadmaps, and implementation plans.

• Assist with responsible AI governance, including AI use case documentation, data ownership, risk assessment, transparency, accountability, and human oversight.

• Support data privacy, data classification, access controls, retention, secure data sharing, and regulatory compliance initiatives.

• Collaborate with privacy, security, legal, records management, and compliance teams to document risks, exceptions, remediation actions, and audit evidence.

• Define data ownership, stewardship responsibilities, decision rights, governance processes, and accountability models.

• Develop and maintain data dictionaries, business glossaries, data inventories, RACI charts, metadata documentation, data lineage records, and governance metrics.

• Conduct data governance maturity assessments and identify data quality issues, governance gaps, and opportunities for improvement.

• Facilitate governance meetings, workshops, steering committees, and cross-functional working groups.

• Prepare executive presentations, meeting agendas, minutes, decision logs, action trackers, and status reports.

• Develop change management plans, stakeholder communications, training materials, job aids, FAQs, and implementation guidance.

• Deliver training to data owners, data stewards, data custodians, and business and technical teams.

• Promote consistent adoption of enterprise data governance policies and data quality standards.

Required Qualifications

• Experience in data governance, data management, enterprise information management, or a related discipline.

• Strong understanding of data ownership, data stewardship, metadata management, data quality, data classification, data catalogs, and data lifecycle management.

• Knowledge of data privacy, information security, regulatory compliance, risk management, and responsible AI governance.

• Experience developing governance frameworks, policies, charters, implementation roadmaps, and supporting documentation.

• Excellent stakeholder management, facilitation, presentation, and communication skills.

• Experience with change management, organizational adoption, training development, or business process improvement.

• Ability to translate complex technical concepts into practical guidance for nontechnical stakeholders.

• Strong analytical, organizational, documentation, and problem-solving skills.

• Ability to collaborate with business leaders, IT teams, data owners, and cross-functional stakeholders.

Preferred Qualifications

• Experience supporting state or local government, public-sector programs, or regulated industries.

• Familiarity with DAMA-DMBOK, data governance maturity models, metadata management, and data quality frameworks.

• Knowledge of the NIST AI Risk Management Framework or responsible AI governance principles.

• Experience facilitating governance councils, steering committees, and enterprise-wide working groups.

• Familiarity with data catalogs, business glossaries, data inventories, and collaboration tools.

• Experience supporting compliance requirements involving HIPAA, FERPA, CJIS, IRS Publication 1075, PCI, FTI, or PII.

• Certifications such as CDMP, Prosci, PMP, CISA, or CIPM are a plus