US Health Analytics Models and Engineering Leader

Aon is looking for a US Health Analytics Models and Engineering Leader.

This is a hybrid role preferably in Denver, Chicago, or Atlanta, with flexibility for other US Aon offices. Fully remote may be considered.

We are seeking a hands-on Health Analytics Models and Engineering leader to lead the development of analytics solutions, systems, and technology for Aon’s US Health Analytics practice. You will own the design, delivery, and quality of the models, analytics applications, and AI-enabled systems that power our benefits financial modeling – including risk simulations, underwriting models, financial analytics, network modeling, benchmarking, plan design and cost-sharing modeling, migration modeling and related capabilities. You will set technical direction, lead a team, and write and review production code, working closely with actuaries, consultants, Aon Business Solutions (ABS), technology architects, and offshore engineering teams.

The ideal candidate has 8+ years of US Health experience, a track record of scaled model development using modern technologies, a deep understanding of US health data and employer benefits financial modeling, and a track record of building analytics applications end-to-end and leading technical teams. Experience translating actuarial and underwriting methods, peer review, and controls into well-engineered, maintainable code is essential.

What a day will look like

• 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

You Bring Knowledge and Expertise

• 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; Docker, Azure, Databricks, and Terraform experience a plus

• Ability to explain technical and modeling decisions clearly to actuaries, consultants, and non-technical audiences

• ASA or FSA credential is viewed as a strong plus

Education

• Bachelor’s or master’s degree in actuarial science, mathematics, computer science, or a related field, or equivalent professional experience

For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Pay Transparency Laws:

The salary range for this position (intended for U.S. applicants) is $185,000 to $225,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. This position is eligible to participate in one of Aon’s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.

A summary of all the benefits offered for this position: Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon’s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.

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