US Health Analytics Data Engineering Team Leader

About the role

Aon is seeking a Health Analytics Data Engineering Leader to lead a distributed team supporting US Health Analytics solutions. This role is responsible for translating business needs into scalable, cloud-first data solutions and leading a distributed team to deliver high-quality solutions with speed, clarity, and strong engineering discipline.

Responsibilities

• Own the end-to-end Medallion US Health Analytics data architecture and be accountable for scaled structured data flows and data partner integrations, enrichments, and downstream processing across each stage.
• Support analytics-ready data capabilities consumed by consultants, actuaries, analytics applications, and AI agents, ensuring each layer is well-governed, performant, and fit for purpose.
• Owning the design and operation of scaled, multi-way data pipelines with key partners—ingesting external and partner data into the platform and delivering trusted, enriched data back out to stakeholders following strict governance, privacy, HIPAA, SOC, contractual, and cybersecurity standards.
• Serve as senior engineering leader and lead through influence and collaboration as part of a globally distributed team.
• Partner closely with Aon Business Services and Aon Data & Analytics engineering teams, architects, and infrastructure teams to ensure Aon enterprise standards and best practices are adopted and followed for Health Analytics data.

Requirements

• Team management experience in a global enterprise environment.
• Experience managing data engineers and coordinating activity across a globally distributed team spanning several departments working closely with Aon Business Solutions and global Data & Analytics organization.
• 10+ years of relevant experience in data engineering, software engineering, analytics engineering, or related technical leadership roles.
• Deep experience designing and delivering cloud-first data engineering solutions using Apache Spark, Databricks, Python, Git, Azure DevOps, CLI tools, and related platforms.
• Strong general software engineering capability, including clean code, modular design, reusable interfaces, automated testing, CI/CD, DevOps practices, and maintainable production systems.
• Demonstrated expertise in data modeling, data architecture, and scalable platform design, with the ability to make practical decisions that balance future-state architecture with timely delivery.
• Knowledge of US commercial healthcare data, including plan designs, premiums & contributions, ASO fees, medical & pharmacy claims, eligibility, enrollment, and related benefits data used by consultants and actuaries.
• Experience with HIPAA, data privacy, data security, access controls, de-identification, and related practices for sensitive health data.
• Experience leading distributed teams, setting priorities, coaching technical colleagues, and building a high-performing engineering culture.
• Ability to translate business needs into technical roadmaps, execution plans, and scalable data capabilities that improve speed, quality, and operating leverage.
• Experience with agentic AI, AI-enabled automation, or emerging engineering workflows that improve productivity, data quality, or analytics delivery.
• Practical data governance experience such as privilege management and monitoring, cataloging, retention policies, and data sharing.
• Capable of writing production software, but skilled at leveraging teams to deliver beyond individual effort.

Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, health informatics, information technology, actuarial science, mathematics, statistics, or a related field, or equivalent professional experience.

Skills

• Advanced Analytics
• Data Analysis
• Data Integration
• Data Management
• Data Mining
• Data Modeling
• Data Science
• Data Visualization
• Predictive Modeling
• Python Programming
• Statistical Analysis

Benefits

• 401(k) savings plan with employer contributions
• Employee stock purchase plan
• Consideration for long-term incentive awards at Aon’s discretion
• Medical, dental, and vision insurance
• Variety of 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
• Tuition assistance
• Commuter benefits
• Employee Assistance Program that includes free counseling sessions

Pay

$175,000 to $220,000 annually

Schedule

Hybrid office schedule is the norm with fully virtual a possibility for the right candidate.