Aon is looking for a Health Analytics Data Engineering Leader to lead a distributed data engineering team supporting US Health Analytics solutions. This experienced team leader 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:
- Owns the end-to-end medallion US Health Analytics data architecture and is accountable for scaled structured data flows and data partner integrations, enrichments and downstream processing across each stage
- Supports analytics-ready data capabilities consumed by consultants, actuaries, analytics applications and AI agents, ensuring each layer is well-governed, performant and fit for purpose
- Accountable for the quality, monitoring, validation, completeness, and reliability of data across the platform
- Owns 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
- Serves as senior engineering leader and also leads though influence and collaboration as part of a globally distributed team
- Partners closely with Aon Business Services and Aon Data & Analytics engineering teams, architects and infrastructure teams ensuring Aon enterprise standards and best practices are adopted and followed for Health Analytics data
- Creates clarity, establishes priorities and leads the team to deliver measurable outcomes with speed, accountability and quality
- Understands business needs, designs for the future and makes pragmatic decisions that keep work moving forward
- Builds an inclusive, high-performing team environment and develops technical talent across geographies and experience levels
- Works effectively across actuarial, consulting, data science, technology, and business teams to deliver the best of Aon to clients
- Moves teams toward modern methods, automation, AI-enabled workflows and scalable ways of working
Requirements:
- Team management experience in a global enterprise environment
- 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
- Experience with US commercial healthcare data, including plan designs, premiums & contributions, ASO fees, medical & pharmacy claims, eligibility, enrollment and related benefits data
- Knowledge of 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
- Experience with agentic AI, AI-enabled automation, or emerging engineering workflows
- 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
- 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