MGR AI GOVERNANCE

Position Highlights:

The Manager of AI Governance is the operational leader of Moffitt’s Artificial Intelligence (AI) Governance Operations team, responsible for day-to-day execution of the AI Governance Operational Framework across all institutional AI — clinical, research (at point of production deployment), and business — differentiated across three pathways: vendor-acquired, embedded AI, and homegrown/research-to-production. The Manager leads a team of analysts, serves as the primary executor of policy set by the AI Governance Committee, holds emergency pause authority for any Tier 1 AI tool presenting imminent patient harm risk (pending AIGC review within 48 hours), and is the primary coordination point between AI Governance Operations and IT.

Responsibilities:

Governance Operations Leadership

• Lead the AI Governance Operations function, managing all aspects of AI lifecycle governance from intake through retirement.
• Serve as AIGC Secretariat: prepare agendas, coordinate documentation, synthesize findings for committee review, and manage follow-through on decisions.
• Administer the 7-question formulaic risk scoring instrument and confirm tier assignments for all AI tools entering governance.
• Coordinate parallel specialist review tracks for Tier 1 (high-risk) AI tools; synthesize Clinical Safety, Data & Privacy, Operational & Strategic, and Legal & IP track findings into a single High-Risk AI Impact Assessment (Moffitt’s Algorithmic Impact Assessment equivalent) for AIGC review and approval decision.

AI Model Registry and Inventory

• Own and enforce the "no go-live without registration" policy for all AI applications.
• Maintain the enterprise AI Model Registry (Phase 1: SharePoint; Phase 3: dashboard-enabled platform), ensuring completeness and accuracy for the current portfolio of 92+ existing AI applications and all new deployments.
• Produce Model Information Sheets documenting risk profiles, validation results, monitoring plans, and ownership for each registered AI tool.

Validation and Monitoring

• Oversee local validation testing and analysis, coordinating with faculty validation consultants for domain-specific expertise (e.g., pathology, radiology, data science).
• Work closely with the IT/Infrastructure teams and domain owners for the deployment of monitoring tools.
• Direct the continuous monitoring program: define drift, performance degradation, and bias detection thresholds; establish escalation triggers and review cadences by risk tier (Tier 1: 6-month, Tier 2: 12-month, Tier 3: annual self-assessment).
• Lead incident response and escalation for AI-related adverse events (aiAE), coordinating with Quality & Patient Safety.

Vendor and Regulatory Oversight

• Manage vendor due diligence and contract oversight for AI-specific terms (indemnification, performance guarantees, data handling, exit provisions).
• Track and operationalize emerging regulatory requirements including FDA SaMD, Joint Commission/CHAI RUAIH, HIPAA, the Colorado AI Act (SB 24-205), and emerging state-level AI legislation.
• Ensure patient disclosure and transparency requirements are implemented per the framework's tier-proportionate approach.
• Identify domain/application-specific audit requirements for the clinical AI tools and help/coordinate the preparation of these documents. Ensure that the AI governance part of these audit requirements is in place throughout the AI tool lifecycle.

Reporting and Strategy

• Prepare quarterly AI governance portfolio reports for CEO Cabinet.
• Provide data-driven recommendations to AIGC on governance process improvements, resource needs, and risk trends.
• Represent Moffitt externally in AI governance thought leadership and peer benchmarking (e.g., with MSK, NCI-designated peers).

Credential and Qualifications:

• Bachelor’s Degree in health informatics, healthcare administration, computer science, data science, public health, law, or related field required.
• 8+ years of progressive experience in healthcare governance, risk management, compliance, health informatics, or AI/ML program management.
• 3+ years in a leadership role managing teams or cross-functional programs.
• Demonstrated experience building or operationalizing governance frameworks, risk assessment processes, or compliance programs in a regulated healthcare environment.
• Experience with AI/ML technologies — either in development, deployment oversight, validation, or governance
• Experience working with or presenting to senior executive leadership (VP+ / C-suite / Board level).

Preferred Experience

• Experience at an NCI-designated cancer center or academic medical center.
• Experience with AI governance committee operations or clinical AI validation.
• Experience with EHR-integrated AI tools (Epic preferred).
• Familiarity with ISO 42001 (AI Management System) or ISO 31000 (Risk Management).
• Experience managing an AI model registry or technology inventory at enterprise scale.

Location: H. Lee Moffitt Cancer Center & Research Institute · Enterprise Risk Mgmt

Schedule: Full Time, Day Shift, M-F 8-5