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Description

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

Responsibilities

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 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.

Reporting, Metrics, and Executive Communication

• 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.

Qualifications

• 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, data governance, model governance, technology governance, risk management, audit, compliance, privacy, data science operations, product governance, or a related field.
• 5+ years of experience working within governance, compliance, ethics, risk, privacy, technology controls, or related disciplines, preferably involving AI, machine learning, data products, analytics, or emerging technologies.
• Proven experience leading cross-functional governance programs, workflow implementations, platform rollouts, operating-model changes, or enterprise control processes.
• Strong understanding of AI, machine learning, generative AI, automated decisioning, data science workflows, AI system lifecycle risks, and responsible AI principles.
• Demonstrated experience coordinating complex cross-functional reviews involving Legal, Privacy, Compliance, Risk, Information Security, Technology, Data, Product, Procurement, Third-Party Risk, and business stakeholders.
• Experience preparing executive-level presentations, governance materials, dashboards, status reports, training materials, and decision documents.
• Ability to influence and build credibility across a matrixed, global organization without relying solely on formal authority.

• IAPP’s AIGP certification is preferred. 

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