Director, AI Governance Lead

Responsibilities

• Own and manage the enterprise AI use case intake, triage, and governance workflow across Verisk.
• Serve as the primary governance contact for teams submitting AI use cases to the AI Governance Board for approval.
• Guide requesting teams through required documentation, registry metadata, risk assessment, stakeholder review, control requirements, approval steps, and ongoing governance obligations.
• Evaluate AI use cases for completeness, business purpose, data sensitivity, customer or regulatory impact, model/system risk, third‑party involvement, and readiness for governance review.
• Track AI use cases from intake through triage, review, approval, implementation, monitoring, remediation, and closure.
• Serve as Verisk's business owner and day‑to‑day operational lead for the AI Governance Platform.
• Lead the internal side of the AI Governance Advisory engagement, including readiness activities, workshop participation, documentation requests, stakeholder coordination, deliverable review, and follow‑up actions.
• Maintain AI use case inventory, workflows, intake forms, questionnaires, assessments, risk classifications, stakeholder reviews, approval records, evidence, controls, remediation items, and reporting in the AI Governance Platform.
• Partner with the AI Governance tool vendor and internal teams to configure and validate workflow stages, questionnaires, automations, conditional routing, risk types, risk scenarios, policy packs, controls, reports, and self‑service intake capabilities.
• Administer and coordinate AI Governance Board operations, including agenda planning, meeting scheduling, presentation preparation, decision logs, minutes, record keeping, and follow‑up actions.
• Translate the stakeholder operating model into clear roles, responsibilities, review expectations, escalation paths, and handoffs at both program and use‑case levels.
• Prepare AI use cases for board review by developing concise summaries, risk profiles, issue logs, stakeholder input, open questions, and recommended decision points.
• Track board decisions, conditions of approval, exceptions, remediation items, escalations, unresolved risks, and required evidence.
• Coordinate with Legal, Privacy, Compliance, Information Security, Data Governance, Procurement, Vendor Management, Third‑Party Risk, Enterprise Risk, Technology, Audit, and business stakeholders to ensure reviews are timely and complete.
• Support the AI Governance Board and cross‑functional teams to implement Verisk’s AI governance policies, standards, procedures, templates, and guidance.
• Support Verisk's global AI governance strategy and help ensure AI systems are developed, deployed, and monitored in a responsible and transparent manner consistent with Verisk's Ethical AI Policy.
• Maintain AI governance framework components, including intake standards, risk assessment criteria, questionnaire logic, inventory requirements, stakeholder routing, approval standards, reporting processes, and control documentation.
• Partner with Legal, Compliance, Privacy, Information Security, Procurement, and Third‑Party Risk on policy mapping, vendor AI addenda inputs, policy‑pack interpretation, and control expectations, while ensuring formal legal and policy decisions remain with the appropriate owners.
• Develop recurring and ad hoc AI governance reporting for the CDO office, AI Governance Board, senior leadership, risk committees, business stakeholders, and other internal audiences.
• Translate AI Governance reporting outputs into stakeholder‑ready views that show governance status, reviewer actions, pipeline trends, risk tiers, open issues, and executive decision points.
• Track and report key metrics such as AI use case volume, review status, approval cycle time, risk tiering, business unit participation, stakeholder review status, remediation items, policy exceptions, audit findings, and board decisions.

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Information Systems, Business, Risk Management, Law, Public Policy, or a related field, or equivalent practical experience.
• 10+ years of relevant professional experience in AI governance,…