Health Analytics AVP - Causal & Predictive Modeling

Aon; Dallas (TX); Hybrid; USD 160,000 - 190,000; Full time

Benefits offered by this job

401(k) plan

Stock purchase plan

Medical, dental and vision insurance

Paid time off

Job summary

Aon is seeking an Assistant Vice President, Health Analytics Data Scientist to lead advanced analytics across health programs in the US. The role demands hands-on expertise in causal inference, predictive modeling, and cost-of-care analyses using large medical and pharmacy claims datasets.

You will drive model development, governance, and production deployment, mentor junior data scientists, and partner with actuaries, consultants, and technology teams to deliver impactful insights for clients

Qualifications

• 7+ years of experience in health analytics, insurance, or health benefits consulting.
• Strong foundation in statistics, causal inference, and predictive modeling.
• Experience with tabular data in medical claims and pharmacy data.
• Ability to document methods and present results to non-technical audiences.

Responsibilities

• Develop and deliver causal inference and predictive modeling workstreams for the US Health Analytics practice, ensuring methodological rigor while staying hands-on in building, reviewing, and validating models and code within project timelines
• Collaborate closely with ABS, cloud architects, and offshore engineering and data science teams to align on data pipelines, model architecture, and deployment standards, coordinate delivery across locations and time zones, and move models from development into scalable, supported production
• Design, build, and tune tabular analyses and predictive models including gradient-boosted, statistical methods and emerging AI modeling techniques- such as cost and utilization forecasting, high-cost claimant prediction, risk stratification, and program engagement propensity
• Document methods, assumptions, data definitions, and results thoroughly - methodology write-ups, technical appendices, model cards, and reproducible analysis records - and present findings, uncertainty, and limitations clearly to clients, carriers, consultants, and senior leaders through polished reports and presentations
• Ensure MLOps and model governance end-to-end, including experiment tracking, model registries, reproducible training pipelines, automated testing, CI/CD, drift and performance monitoring, and model documentation, validation, and approval workflows aligned with Aon's risk, privacy, and compliance standards
• Serve as senior technical, code, and methodology reviewer for analytics deliverables, and set standards for model validation, explainability, bias and fairness review, and quality control
• Partner with senior leaders across Aon's health actuarial, consulting, clinical, innovation, and specialty practice areas, and stay current on emerging vendors and startups in healthcare navigation, digital health, and care delivery
• Mentor and coach data scientists, and lead multiple projects with clear priorities, timelines, and milestones

Skills

Python

R

SQL

MLOps

Causal inference

Education

Bachelor's or master's degree in statistics / biostatistics / mathematics / economics

Tools

Databricks

Spark

Azure

Docker

CI/CD

Job description

Aon is seeking an Assistant Vice President, Health Analytics Data Scientist to lead advanced analytics across health programs in the US. The role demands hands-on expertise in causal inference, predictive modeling, and cost-of-care analyses using large medical and pharmacy claims datasets.

You will drive model development, governance, and production deployment, mentor junior data scientists, and partner with actuaries, consultants, and technology teams to deliver impactful insights for clients