Health Analytics Leader: AI-Driven Modeling & Engineering

Aon

Denver (CO)

Hybrid

USD 180,000 - 225,000

Full time

2 days ago
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Benefits offered by this job

401(k) match and benefits
Annual discretionary bonus
Health, dental, vision coverage

Job summary

Aon is seeking a hands-on Health Analytics Models and Engineering Leader to drive design, delivery, and quality of analytics solutions for the US Health Analytics practice. The role involves leading modeling engines, AI-enabled systems, and collaborating with offshore teams to scale production-grade solutions.

You will guide actuaries, consultants, and engineers, setting technical direction while remaining hands-on with code.

Qualifications

  • 8+ years in US Health & Benefits consulting with demonstrable value delivery.

Responsibilities

  • Lead analytics solution development and engineering, including AI-enabled analytics initiatives.
  • Collaborate with ABS, architects, and offshore teams to align architecture and standards.
  • Design, build, and maintain modeling engines for health and benefits domains.
  • Turn actuarial methods into tested, governed code with clear outputs.
  • Productionize AI systems and modular capabilities; advance AI-assisted development.
  • Own quality and reliability through DevOps, CI/CD, and testing.
  • Lead and coach technical teams using agile Scrum methods.

Skills

Python
C#
R
DevOps
Azure
Databricks
Terraform
Leadership
Agile Scrum

Education

Bachelor's or master's degree in actuarial science, mathematics, computer science, or related field

Tools

Docker
GitHub Copilot
Claude Code
Azure
Databricks
Terraform

Job description

Aon is seeking a hands-on Health Analytics Models and Engineering Leader to drive design, delivery, and quality of analytics solutions for the US Health Analytics practice. The role involves leading modeling engines, AI-enabled systems, and collaborating with offshore teams to scale production-grade solutions.

You will guide actuaries, consultants, and engineers, setting technical direction while remaining hands-on with code.

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