Enterprise Data Governance Consultant

Key Responsibilities

• Data Governance Strategy: Support the development of data governance strategies, operating models, roadmaps, charters, maturity assessments, and implementation plans.
• AI Governance, Privacy & Compliance: Support responsible AI practices, data privacy, security, risk management, data classification, access controls, and compliance documentation.
• Governance Documentation: Develop and maintain data inventories, business glossaries, data dictionaries, RACI matrices, stewardship plans, data issue logs, policies, procedures, and governance roadmaps.
• Stakeholder Engagement: Collaborate with business leaders, data owners, data stewards, IT teams, privacy, security, legal, and compliance stakeholders.
• Meeting Facilitation: Plan and facilitate governance meetings, workshops, steering committee sessions, and working groups. Prepare agendas, meeting minutes, decision logs, and action trackers.
• Change Management & Communications: Develop stakeholder engagement plans, adoption strategies, presentations, newsletters, FAQs, executive briefings, and other communication materials.
• Training & Development: Create and deliver training programs, learning materials, job aids, and role-based guidance for data owners, data stewards, and other agency personnel.
• Data Quality & Metadata: Support data quality improvement, metadata management, data cataloging, business definitions, data lineage, data lifecycle management, and data-sharing practices.
• Risk & Audit Readiness: Document governance controls, risks, policy exceptions, remediation actions, metrics, and evidence required for compliance and audit readiness.
• Performance Measurement: Track governance maturity, adoption, training effectiveness, data quality, and implementation progress.

Required Skills and Qualifications

• Experience in data governance, data management, enterprise information management, or related consulting initiatives.
• Strong stakeholder management and cross-functional meeting facilitation skills.
• Experience developing governance frameworks, implementation roadmaps, policies, procedures, and supporting documentation.
• Knowledge of data ownership, data stewardship, metadata management, data quality, data classification, data catalogs, and data lifecycle management.
• Experience in change management, training development, communications, and organizational adoption.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
• Ability to coordinate with multiple stakeholders and independently manage deliverables.
• Strong documentation, presentation, workshop facilitation, and project coordination skills.

Preferred Qualifications

• Experience working with state or local government, public-sector organizations, or regulated industries.
• Familiarity with DAMA-DMBOK, data governance maturity models, data stewardship, and metadata management.
• Knowledge of responsible AI governance principles and the NIST AI Risk Management Framework.
• Understanding of privacy and compliance requirements such as HIPAA, FERPA, CJIS, IRS Publication 1075, PCI, FTI, and PII, where applicable.
• Experience with enterprise data catalogs, business glossaries, collaboration platforms, knowledge management tools, or issue-tracking systems.
• Relevant certifications such as CDMP, PMP, CISA, CIPM, or Prosci/change management certifications are desirable.

Ideal Candidate Profile

Look for candidates who combine data governance expertise with stakeholder engagement, change management, training, and implementation experience. Candidates who have helped organizations establish governance processes, facilitate governance councils, develop documentation, and drive adoption across business and technology teams are especially suitable.