HU
HuronLead Engineer, Analytics Platform & AI
SalaryNo pay range posted
LocationChicago - 550 Van Buren
Work moderemote · United States
Typefull-time
SeniorityLead
Company size1,001–5,000 people
PostedSep 28, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Full Stack Lead Engineer to guide technical direction
Hands on leadership role - write and review code, set architecture and technical standards
Lead design and development across the stack
Set technical direction for scalability, security, and performance of AWS based analytics solutions
Collaborate with product management using Agile practices
Identify and lead opportunities to embed AI capabilities into analytics products
Partner with data scientists to move ML models from prototype to production
Evaluate and apply large language model based tools with attention to data privacy, accuracy, and healthcare compliance
Design and maintain ETL and data pipeline processes
Work with cloud data services including S3, Redshift, Glue, Lambda, and Athena
Uphold data governance, quality, and healthcare data handling standards
Lead, support, and mentor a team of engineers
Establish engineering practices, code quality standards, and delivery processes
Communicate progress, risks, and technical decisions to product leadership
Skills
AWS
S3
Redshift
Glue
Lambda
Athena
Python
React
About the company
Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
About the role
Market Insights is Huron’s analytics product suite, built on a foundation of tens of billions of medical claims, millions of clinical providers, and hundreds of millions of unique patient lives. We are looking for a Full Stack Lead Engineer to guide the technical direction of this platform end to end, from the data layer through the user interface, with a mandate to embed AI directly into how our analytics products are built and how they deliver insight to clients.
This is a hands on leadership role. You will write and review code, set architecture and technical standards, and lead a team of engineers, while partnering closely with product management, data engineering, and data science to bring intelligent, AI enabled analytics capabilities to market faster.
Responsibilities
Full stack product development
•
Lead design and development across the stack: responsive front end interfaces, APIs and services, and the underlying data layer for analytics products.
•
Set technical direction and architecture for scalability, security, and performance of AWS based analytics solutions.
•
Collaborate with product management on roadmap, prioritization, and feature delivery using Agile practices.
AI and machine learning in analytics
•
Identify and lead opportunities to embed AI and Agentic AI capabilities into analytics products: predictive models, natural language interfaces over data, automated insight generation, and generative AI features that help clients act faster on their data.
•
Partner with data scientists to move machine learning models from prototype into reliable, production grade services.
•
Evaluate and apply large language model based tools where they add measurable client value, with attention to data privacy, accuracy, and healthcare compliance requirements.
Data engineering
•
Design and maintain ETL and data pipeline processes that feed dashboards, models, and client facing reporting.
•
Work with cloud data services, including S3, Redshift, Glue, Lambda, and Athena, to build scalable data infrastructure.
•
Uphold data governance, quality, and healthcare data handling standards across the platform.
Team leadership
•
Support, and mentor a team of engineers, providing technical guidance and career development.
•
Establish and continuously improve engineering practices, code quality standards, and delivery processes.
•
Communicate progress, risks, and technical decisions clearly to product leadership and cross functional stakeholders.