AI Data Governance; SME

AI Data Governance Subject Matter Expert (SME) Part-Time Consultant

We 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.

• Advise on the design and implementation of AI governance frameworks tailored to healthcare and PHI-sensitive environments
• Assess AI/ML model risk, bias, explainability, and data lineage across the full model lifecycle
• Develop and review AI use policies, acceptable use standards, and model cards
• Provide guidance on emerging regulatory requirements related to AI (e.g., EU AI Act, NIST AI RMF, FDA AI/ML SaMD guidance)

• Define and enforce data classification, access control, and retention standards for datasets containing PHI
• Evaluate data governance maturity using industry frameworks such as DAMA-DMBOK and DCAM
• Support HIPAA compliance reviews including Business Associate Agreements (BAAs) for AI vendors
• Advise on de-identification methodologies (Safe Harbor, Expert Determination) for AI training datasets

• Partner with legal, compliance, IT, clinical, and data science teams to align governance policies with operational realities
• Translate complex regulatory and technical requirements into actionable guidance for non-technical audiences
• Lead or support governance committee meetings, readiness assessments, and audits on an as-needed basis

• Draft, review, and maintain governance documentation including policies, procedures, data dictionaries, and risk registers
• Produce deliverables such as gap analyses, governance roadmaps, and compliance checklists

• 7+ years of experience in data governance, information management, or data privacy roles
• Direct, hands-on experience working with PHI in a healthcare, health-tech, health plan, or life sciences setting, including genomic, laboratory, or clinical data environments
• Demonstrated expertise in AI/ML governance, including model risk management, data provenance, and responsible AI practices
• Strong working knowledge of HIPAA Privacy and Security Rules
• Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001, or NIST CSF
• Experience with data governance platforms (e.g., Collibra, Alation, Informatica, Microsoft Purview, or similar)
• Proven ability to deliver independently as a consultant or contract SME

• Certification in one or more of: CDMP, CIPP/US, CHPC, CISA, or CIPM
• Experience advising on AI-enabled clinical decision support tools or digital health applications
• Familiarity with FTC, FDA, or CMS regulatory frameworks as they apply to AI
• Prior experience supporting SOC 2, HITRUST, or FedRAMP compliance programs
• Background in data ethics or participation in AI ethics boards or committees
• Experience in cloud-native environments (AWS, Azure, GCP) with PHI data controls
• Experience 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 risks

Beyond credentials, we're looking for someone who:

• Is a pragmatic problem-solver who can move governance from theory to practice
• Communicates clearly and confidently across technical, clinical, and executive audiences
• Stays current with the rapidly evolving AI regulatory and policy landscape
• Brings intellectual curiosity and a genuine commitment to responsible, ethical AI