AI Data Governance (SME)

AI Data GovernanceSubject Matter Expert (SME)Part-Time Consultant · Remote · Healthcare & AIAbout the RoleWe are seeking an experienced AI Data Governance Subject Matter Expert (SME) to join us on a part-time consulting basis. This role sits at the intersection of artificial intelligence, data management, and healthcare compliance. The ideal candidate brings deep, hands-on expertise governing data pipelines and AI/ML systems that process Protected Health Information (PHI), and is comfortable guiding cross-functional stakeholders through responsible AI deployment in regulated environments.This is a flexible, project-based engagement suited for an independent consultant or seasoned practitioner looking to contribute meaningful work without a full-time commitment.Key ResponsibilitiesAI Governance & StrategyAdvise on the design and implementation of AI governance frameworks tailored to healthcare and PHI-sensitive environmentsAssess AI/ML model risk, bias, explainability, and data lineage across the full model lifecycleDevelop and review AI use policies, acceptable use standards, and model cardsProvide guidance on emerging regulatory requirements related to AI (e.g., EU AI Act, NIST AI RMF, FDA AI/ML SaMD guidance)Data Governance & ComplianceDefine and enforce data classification, access control, and retention standards for datasets containing PHIEvaluate data governance maturity using industry frameworks such as DAMA-DMBOK and DCAMSupport HIPAA compliance reviews including Business Associate Agreements (BAAs) for AI vendorsAdvise on de-identification methodologies (Safe Harbor, Expert Determination) for AI training datasetsStakeholder EngagementPartner with legal, compliance, IT, clinical, and data science teams to align governance policies with operational realitiesTranslate complex regulatory and technical requirements into actionable guidance for non-technical audiencesLead or support governance committee meetings, readiness assessments, and audits on an as-needed basisPolicy & DocumentationDraft, review, and maintain governance documentation including policies, procedures, data dictionaries, and risk registersProduce deliverables such as gap analyses, governance roadmaps, and compliance checklistsRequired Qualifications7+ years of experience in data governance, information management, or data privacy rolesDirect, hands-on experience working with PHI in a healthcare, health-tech, health plan, or life sciences setting, including genomic, laboratory, or clinical data environmentsDemonstrated expertise in AI/ML governance, including model risk management, data provenance, and responsible AI practicesStrong working knowledge of HIPAA Privacy and Security RulesFamiliarity with frameworks such as NIST AI RMF, ISO/IEC 42001, or NIST CSFExperience with data governance platforms (e.g., Collibra, Alation, Informatica, Microsoft Purview, or similar)Proven ability to deliver independently as a consultant or contract SMEPreferred QualificationsCertification in one or more of: CDMP, CIPP/US, CHPC, CISA, or CIPMExperience advising on AI-enabled clinical decision support tools or digital health applicationsFamiliarity with FTC, FDA, or CMS regulatory frameworks as they apply to AIPrior experience supporting SOC 2, HITRUST, or FedRAMP compliance programsBackground in data ethics or participation in AI ethics boards or committeesExperience in cloud-native environments (AWS, Azure, GCP) with PHI data controlsExperience governing genomic or laboratory PHI data, including familiarity with data types such as whole genome sequencing (WGS), lab information systems (LIS), pathology records, or biobank datasets, and associated sensitivity, consent, and re-identification risksWhat We're Looking ForBeyond credentials, we're looking for someone who:Is a pragmatic problem-solver who can move governance from theory to practiceCommunicates clearly and confidently across technical, clinical, and executive audiencesStays current with the rapidly evolving AI regulatory and policy landscapeBrings intellectual curiosity and a genuine commitment to responsible, ethical AI