MGR AI GOVERNANCE

Overview 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, 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 (AI AE), 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. #J-18808-Ljbffr Moffitt Cancer Center