Verisk Analytics is seeking a Senior AI Governance Analyst to support the responsible, ethical, transparent, and well-controlled use of artificial intelligence across the enterprise as Verisk operationalizes its AI Governance Platform and matures its AI Governance Workflow.
Reporting to the Director, AI Governance Lead within the Chief Data Office, this individual contributor will manage the day-to-day execution of AI use case intake, initial risk triage, stakeholder coordination, platform administration, AI Governance Board preparation, decision tracking, ongoing monitoring, reporting, and user enablement.
This person will help business, product, technology, and data science teams navigate governance requirements; ensure submissions are complete and routed to the appropriate reviewers; maintain accurate and audit-ready records; and follow approvals, conditions, exceptions, and remediation items through closure.
This role will partner closely with Legal, Privacy, Compliance, Information Security, Data Governance, Procurement, Vendor Management, Third-Party Risk, Enterprise Risk, Audit, Technology, Product, Data Science, and business stakeholders.
The successful candidate will be highly organized, comfortable multi-tasking and prioritizing, able to understand and document AI system details, and a critical thinker skilled at translating governance requirements into practical steps for business and technical teams.
Acknowledging that AI governance is an evolving discipline, you will work to confirm that our global AI inventory is accurate, transparent, and in-line with the dynamic landscape of AI regulation and measurement.
This role will be Hybrid in our Jersey City, NJ location.
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you''ll have the chance to use your voice and build a rewarding career that''s as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.
We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran''s status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
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- Bachelor''s degree in Computer Science, Artificial Intelligence, Information Systems, Business, Risk Management, Compliance, Privacy, Public Policy, or a related field, or equivalent practical experience.
- Four to six years of relevant professional experience in AI governance, data governance, model governance, technology governance, risk management, compliance, privacy, audit, technology controls, data science operations, product governance, program management, or a related field.
- Hands-on experience operating a structured intake, risk assessment, approval, inventory, issue-management, remediation, or control-evidence process in a complex organization.
- Comfortable with new technologies, some understanding of AI, machine learning, generative AI, automated decisioning, data science workflows, AI system lifecycle risks, and responsible AI principles.
- Ability to understand and document an AI use case's business purpose, users, data, model or solution design, third-party dependencies, human oversight, outputs, potential impacts, and control requirements.
- Experience coordinating cross-functional reviews involving business, product, technology, data, Legal, Privacy, Compliance, Information Security, Risk, Procurement, or Audit stakeholders.
- Experience supporting enterprise AI governance platform implementation or GRC systems, workflow rollout, process redesign, or governance operating-model change.
- Preferred: Attained or interest in attaining the AI Governance Professional (AIGP) certification
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AI Use Case Intake, Triage, and Workflow Operations
- Serve as an operational point of contact for teams submitting AI, machine learning, generative AI, automated decisioning, and third-party AI use cases for governance review.
- Review submissions for completeness, clarity, and data quality, including business purpose, intended users, affected customers, data sources, model or solution type, third-party involvement, deployment approach, human oversight, and potential regulatory or reputational impact.
- Apply established intake and triage criteria to support preliminary risk classification, identify required evidence, and route use cases to the appropriate Legal, Privacy, Compliance, Information Security, Data Governance, Procurement, Third-Party Risk, and other reviewers.
- Guide requesting teams through documentation, risk assessments, stakeholder reviews, control requirements, approval steps, conditions of approval, monitoring obligations, and change or re-review requirements.
- Manage the active case queue, follow up on missing information and overdue reviews, track service-level expectations, identify bottlenecks, and escalate aging, high-risk, or unresolved matters to the Director.
- Track AI use cases from initial intake through review, board decision, implementation, monitoring, remediation, periodic reassessment, and closure.
AI Governance Platform Administration and Data Quality
- Administer day-to-day records and workflows within the AI Governance Platform under the direction of the Director, AI Governance Lead.
- Maintain AI inventory records, intake forms, questionnaires, assessments, risk classifications, stakeholder reviews, approval records, evidence, controls, conditions, exceptions, remediation items, monitoring records, and reporting fields.
- Support platform configuration, user acceptance testing, release validation, workflow changes, conditional routing, notifications, dashboards, reports, user access, and self-service capabilities.
AI Governance Board and Stakeholder Coordination
- Support AI Governance Board operations, including agenda planning, meeting scheduling, case prioritization, presentation preparation, reviewer follow-up, minutes, decision logs, record keeping, and action tracking.
- Capture and communicate Board decisions, conditions of approval, exceptions, required controls, remediation commitments, re-review triggers, and evidence requirements to use case owners and reviewers.
- Maintain audit-ready evidence of submissions, assessments, reviews, approvals, exceptions, decisions, communications, and follow-up actions.
Ongoing Monitoring, Conditions, and Remediation
- Track post-approval conditions, exceptions, remediation plans to completion, periodic review dates, owner attestations, monitoring evidence, material changes, incidents, and re-approval requirements.
- Escalate overdue, incomplete, or high-risk items and support the Director in preparing issue summaries and recommended next steps for the AI Governance Board or other oversight groups.
- Assist with use case closure, archival, decommissioning, and inventory updates when AI systems are retired or no longer in scope.
Reporting, Metrics, and Continuous Improvement
- Develop recurring and ad hoc reports for the Director, Chief Data Office, AI Governance Board, senior leadership, risk committees, business stakeholders, and other internal audiences.
- Track and report metrics such as AI use case volume, review status, approval cycle time, aging, risk tier, business unit participation, reviewer turnaround, conditions, remediation items, policy exceptions, and Board decisions.
- Analyze workflow trends and bottlenecks, identify opportunities to simplify, automate or improve governance activities, and support implementation of approved process improvements.
AI Use Case Intake, Triage, and Workflow Operations
- Serve as an operational point of contact for teams submitting AI, machine learning, generative AI, automated decisioning, and third-party AI use cases for governance review.
- Review submissions for completeness, clarity, and data quality, including business purpose, intended users, affected customers, data sources, model or solution type, third-party involvement, deployment approach, human oversight, and potential regulatory or reputational impact.
- Apply established intake and triage criteria to support preliminary risk classification, identify required evidence, and route use cases to the appropriate Legal, Privacy, Compliance, Information Security, Data Governance, Procurement, Third-Party Risk, and other reviewers.
- Guide requesting teams through documentation, risk assessments, stakeholder reviews, control requirements, approval steps, conditions of approval, monitoring obligations, and change or re-review requirements.
- Manage the active case queue, follow up on missing information and overdue reviews, track service-level expectations, identify bottlenecks, and escalate aging, high-risk, or unresolved matters to the Director.
- Track AI use cases from initial intake through review, board decision, implementation, monitoring, remediation, periodic reassessment, and closure.
AI Governance Platform Administration and Data Quality
- Administer day-to-day records and workflows within the AI Governance Platform under the direction of the Director, AI Governance Lead.
- Maintain AI inventory records, intake forms, questionnaires, assessments, risk classifications, stakeholder reviews, approval records, evidence, controls, conditions, exceptions, remediation items, monitoring records, and reporting fields.
- Support platform configuration, user acceptance testing, release validation, workflow changes, conditional routing, notifications, dashboards, reports, user access, and self-service capabilities.
AI Governance Board and Stakeholder Coordination
- Support AI Governance Board operations, including agenda planning, meeting scheduling, case prioritization, presentation preparation, reviewer follow-up, minutes, decision logs, record keeping, and action tracking.
- Capture and communicate Board decisions, conditions of approval, exceptions, required controls, remediation commitments, re-review triggers, and evidence requirements to use case owners and reviewers.
- Maintain audit-ready evidence of submissions, assessments, reviews, approvals, exceptions, decisions, communications, and follow-up actions.
Ongoing Monitoring, Conditions, and Remediation
- Track post-approval conditions, exceptions, remediation plans to completion, periodic review dates, owner attestations, monitoring evidence, material changes, incidents, and re-approval requirements.
- Escalate overdue, incomplete, or high-risk items and support the Director in preparing issue summaries and recommended next steps for the AI Governance Board or other oversight groups.
- Assist with use case closure, archival, decommissioning, and inventory updates when AI systems are retired or no longer in scope.
Reporting, Metrics, and Continuous Improvement
- Develop recurring and ad hoc reports for the Director, Chief Data Office, AI Governance Board, senior leadership, risk committees, business stakeholders, and other internal audiences.
- Track and report metrics such as AI use case volume, review status, approval cycle time, aging, risk tier, business unit participation, reviewer turnaround, conditions, remediation items, policy exceptions, and Board decisions.
- Analyze workflow trends and bottlenecks, identify opportunities to simplify, automate or improve governance activities, and support implementation of approved process improvements.