Actuarial AI Regional Lead
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Key skills for this role
About the Role
Aon is hiring an Actuarial AI Regional Lead to drive GenAI-enabled ways of working within Aon Life Solutions. You will champion adoption of AI and automation tools for actuarial modeling, valuation, and pricing.
Key Skills for This Role
Responsibilities
- Act as the primary regional business champion for PathWise AI and automation tools, driving awareness, understanding, and effective usage
- Work with actuarial modelers and client teams to redesign workflows to take full advantage of AI and automation capabilities
- Develop and deliver regional demonstrations, walkthroughs, and training sessions showing how AI tools improve quality, consistency, speed, and governance
- Proactively identify new opportunities to apply AI and automation across the PathWise lifecycle
- Collaborate with implementation teams, clients, and AI developers to translate business problems into clear AI use cases and feature requests
- Serve as a regional subject matter expert on how AI and automation can support actuarial modeling, valuation, and pricing workflows in PathWise
- Act as a key interface between regional actuarial end users and the core AI development teams
- Support adherence to Aon’s AI governance requirements by promoting appropriate controls, guardrails, and documentation
Requirements
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
- Significant experience (typically 5+ years) in actuarial modeling, valuation, pricing, or risk management within life insurance or related financial services
- Familiarity with GenAI or automation tools applied in a professional context
- Demonstrable ability to partner with implementation or technology teams to design and implement new or improved actuarial processes or tooling
- Ability to understand complex actuarial workflows end to end and identify bottlenecks and opportunities for automation
- Good communication skills, with experience explaining technical concepts to various audiences
- Experience leading workshops, training, or change management activities related to new tools or processes
- Solid understanding of governance, controls, and documentation expectations for actuarial models and reporting processes
Full Job Posting
Role Type
- New position
Role Summary
- Aon is looking for an Actuarial AI regional Lead.
- Part of Aon’s Reinsurance Strategy and Technology Group in Toronto.
- Work at the intersection of actuarial modeling and AI enabled process transformation.
AI‑Enabled Ways of Working & Adoption
- Act as the primary regional business champion for PathWise AI and automation tools.
- Work with actuarial modelers and client teams to redesign workflows.
- Develop and deliver regional demonstrations, walkthroughs, and training sessions.
- Promote guidelines for appropriate and responsible use of AI tools.
Use Case Identification, Expansion & Continuous Improvement
- Proactively identify new opportunities to apply AI and automation.
- Collaborate with teams to translate business problems into AI use cases.
- Prioritize and document regional enhancements to the AI toolset.
- Lead or support structured pilots and experiments for new AI features.
Client & Customer Engagement
- Serve as a regional subject matter expert on AI and automation for actuarial workflows.
- Work directly with client actuarial teams to design AI enabled solutions.
- Facilitate workshops and working sessions to co design target state workflows.
- Help manage expectations and change impacts.
Bridge Between Actuarial Users and AI Developers
- Act as a key interface between regional actuarial end users and AI development teams.
- Provide structured, domain informed feedback on prototypes.
- Contribute to definition of success criteria and evaluation metrics.
- Work with developers to translate user feedback into refined requirements.
Governance, Controls & Quality
- Support adherence to Aon’s AI governance requirements.
- Help define and embed practical validation and review approaches for AI assisted outputs.
- Contribute to documentation, playbooks, and guidance on standard AI enabled workflows.
Knowledge Sharing, Leadership & Thought Leadership
- Stay ahead of trends in GenAI, automation, and actuarial technology.
- Develop and share case studies, examples, and reusable materials.
- Provide informal leadership and mentoring to colleagues.
- Represent the region’s needs in global PathWise AI forums.
Required Experience & Qualifications
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Computer Science, Engineering, or related quantitative field.
- Significant experience (typically 5+ years) in actuarial modeling, valuation, pricing, or risk management within life insurance or related financial services.
- Familiarity with GenAI or automation tools applied in a professional context.
- Demonstrable ability to partner with implementation or technology teams.
- Ability to understand complex actuarial workflows end to end.
- Good communication skills.
- Experience leading workshops, training, or change management activities.
- Solid understanding of governance, controls, and documentation expectations.
Preferred / Nice To Have
- Previous involvement in projects that introduced new modeling platforms, tooling, or methodologies to actuarial teams.
- Comfort working with technical AI/ML or software engineering teams.
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