Director, AI Governance Lead

Verisk Analytics is seeking a Director, AI Governance Lead to advance the responsible, ethical, transparent, and well-controlled use of artificial intelligence across the enterprise as Verisk operationalizes the AI Governance Platform and matures its AI Governance Workflow.

Reporting to the VP, Data Strategy & Governance within the Chief Data Office, this leader will own the internal operating model for AI use case intake, risk assessment, stakeholder review, approvals, inventory, reporting, and ongoing monitoring.

The Director will serve as Verisk’s customer-side owner for AI Governance platform readiness, initial deployment, and business-as-usual adoption. This includes coordinating AI Governance Advisory workshops and deliverables, aligning business and risk stakeholders, managing platform data quality, and translating implementation outputs into durable governance practices.

This role will partner closely with Legal, Business, Product, Technology, Data Science, Privacy, Compliance, Information Security, Data Governance, Procurement, Vendor, Enterprise Risk, Audit, and executive stakeholders. The successful candidate will be comfortable moving from board-ready governance materials to hands-on workflow details, user enablement, and issue resolution

AI Use Case Intake, Triage, and Governance Workflow

• 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.

AI Governance Implementation and Platform Ownership

• 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.

AI Governance Board and Stakeholder Operating Model

• 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.

Responsible AI Governance Framework

• 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 docu…