Support enterprise data governance initiatives, including strategy development, implementation planning, stakeholder engagement, and program maturity.
Support AI governance, privacy, security, risk, and compliance activities related to data and AI-enabled systems.
Document AI use cases, data sources, ownership, stewardship responsibilities, risks, controls, and governance checkpoints.
Coordinate with privacy, security, legal, records, and compliance stakeholders for sensitive, confidential, regulated, or high-risk data.
Support the responsible use of AI technologies to automate and streamline data governance processes and artifacts.
Reinforce data classification, access management, data minimization, authorized use, retention, and secure data-sharing practices.
Document data-related risks, issues, policy exceptions, remediation actions, and audit evidence.
Support compliance considerations for HIPAA, FERPA, CJIS, IRS Publication 1075, PCI, FTI, PII, and other applicable regulatory requirements.
Develop and support data governance charters, roadmaps, operating models, stakeholder maps, and implementation plans.
Define data governance scope, ownership, roles, responsibilities, decision rights, and engagement processes.
Identify business needs, data pain points, data quality risks, and opportunities for data sharing and reuse.
Conduct data governance maturity assessments and develop work plans to address identified gaps.
Translate complex data governance concepts into clear, business-friendly guidance for executives, business teams, data stewards, and technical stakeholders.
Support implementation across data governance areas including organization, policies, procedures, standards, architecture, data administration and controls, metrics, reporting, and audits.
Develop and maintain governance artifacts such as RACI matrices, business glossaries, data dictionaries, data inventories, issue logs, policy mappings, stewardship plans, and governance roadmaps.
Document data domains, data ownership, stewardship responsibilities, business definitions, data flows, data quality rules, risks, controls, and performance metrics.
Support data catalog, metadata, data classification, lineage, and related governance documentation activities.
Establish and maintain governance repositories containing artifacts, meeting records, training materials, communications, and implementation evidence.
Develop and monitor data governance metrics, maturity indicators, and performance measures.
Plan, facilitate, and document governance meetings, workshops, steering committees, and stewardship working sessions.
Prepare agendas, presentations, meeting materials, decision logs, action-item trackers, issue logs, and executive summaries.
Facilitate collaboration among business leaders, data owners, data stewards, technology teams, privacy, security, legal, and compliance stakeholders.
Support resolution of cross-functional data issues by identifying decision points, documenting options, assessing risks, and escalating unresolved issues.
Establish governance meeting cadences, operating processes, and decision-making practices.
Develop business value cases for data governance initiatives, including benefits, risks, resource requirements, expected outcomes, and implementation options.
Develop and execute stakeholder engagement and change management plans to support adoption of data governance practices.
Develop communications including executive briefings, presentations, talking points, newsletters, FAQs, intranet content, one-page summaries, and adoption materials.
Communicate the business value of data governance, including improved data quality, reduced risk, trusted data, improved decision-making, service delivery, and operational efficiency.
Identify adoption barriers and implement targeted interventions such as communications, leadership briefings, training, job aids, and facilitation support.
Develop training strategies, course outlines, instructor-led materials, self-service learning content, quick reference guides, and role-based learning paths.
Deliver data governance and data literacy training to data owners, data stewards, data custodians, data producers, data consumers, and governance teams.
Develop practical training exercises covering data ownership, business glossaries, data quality, classification, metadata, data sharing, and governance processes.
Track training attendance, feedback, adoption metrics, and continuous improvement opportunities.
Promote data quality practices focused on accuracy, timeliness, accessibility, completeness, and consistency.
Support data governance adoption through workshops, presentations, stakeholder engagement, and ongoing communications.
Work collaboratively with data governance leadership, analysts, technical teams, and business stakeholders to drive implementation activities.
Prepare clear, professional, and executive-ready documentation, presentations, reports, and other governance deliverables.
