US Health Analytics Models and Engineering Leader

Aon is seeking a leader for its US Health Analytics practice. The role leads the development and engineering of analytics models, applications, and AI-enabled systems for benefits financial modeling, while setting technical direction, managing delivery and quality, and coaching a technical team.

Responsibilities:

• Lead analytics technical solution development and engineering, AI-enabled analytics solution development, and priority analytics roadmap workstreams for the US Health Analytics practice, setting technical direction while staying hands-on in writing, reviewing, and shipping production code
• Collaborate closely with Aon Business Solutions (ABS), technology architects, and offshore engineering teams to align on architecture, standards, and priorities, coordinate delivery across locations and time zones, and move models into scalable, supported production
• Design, build, and maintain modeling engines – simulations, underwriting and renewal tools, cost and risk modeling, reserving (IBNR), pricing and contribution setting, plan design valuations, and migration modeling – and extend them across domains such as Actuarial and Financial, Clinical and Pharmacy, Time Away Solutions, Audit, Network Analytics, and Consumer Benefits
• Partner with actuaries, consultants, and subject matter experts to turn actuarial and underwriting methods into tested, governed, and documented code with consistent assumptions and outputs
• Design and productionize AI systems and modular capabilities, including agent graphs, harness engineering, and orchestration, and advance AI-assisted development practices
• Own quality and reliability end-to-end through strong DevOps practices, including infrastructure as code, automated testing, model validation, and CI/CD
• Lead and coach technical colleagues, and run delivery through agile Scrum with clear priorities and objectives

Requirements:

• Minimum 8 years of experience in US Health & Benefits consulting, with a track record of delivering value to clients and colleagues
• Strong understanding of employer benefits financial modeling, including health risk, underwriting forecasting, trend and seasonality, reserving, pricing, plan design valuations, and migration modeling, and of actuarial techniques such as completion factors, credibility, and Monte Carlo simulation
• Expert knowledge of US health data, including benefit plan design, medical and pharmacy claims, eligibility, plan design, and benefits structure
• Deep experience building and scaling analytics applications end-to-end
• Experience partnering with enterprise technology and architecture teams and leading work with offshore or distributed engineering teams
• Experience designing and productionizing AI systems; familiarity with AI-assisted and autonomous development including GitHub Copilot and Claude Code
• Experience leading technical teams, with strong agile Scrum and DevOps practices (infrastructure as code, testing, CI/CD, version control, Linux/WSL)
• Python, C#, and R mastery are required
• Ability to explain technical and modeling decisions clearly to actuaries, consultants, and non-technical audiences
• Bachelor's or master's degree in actuarial science, mathematics, computer science, or a related field, or equivalent professional experience
• Docker, Azure, Databricks, and Terraform experience a plus
• ASA or FSA credential is viewed as a strong plus