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.
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.
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
