Lead Engineer, Analytics Platform & AI

Huron Consulting Group Inc.; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Employee stock purchase plan

Generous Paid Time Off

Parental leave and adoption assistance

Wellness program

Job summary

Huron Consulting Group is seeking a Full Stack Lead Engineer to guide the technical direction of Market Insights analytics platform, from data layer to UI. You will embed AI capabilities, lead a team of engineers, and partner with product management, data engineering, and data science to accelerate AI-enabled analytics delivery.

Responsibilities span front-end to data layer, AWS-based architecture, and collaboration with cross-functional teams in an Agile environment.

Qualifications

• 8+ years of professional software engineering experience across full stack
• 3+ years leading or mentoring engineers
• Experience applying AI/ML in production analytics or data products
• Strong front end: TypeScript, JavaScript, React
• Strong back end: Python and analytics/API development
• Relational databases and SQL proficiency
• Experience with AWS data services (Lambda, S3, Redshift, Glue, Athena)
• IaC and cloud tooling (CloudFormation, CDK)
• Git and CI/CD practices
• Agile software delivery and strong communication skills

Responsibilities

• Full stack product development across front end, APIs, and data layer
• Set architecture for scalable, secure AWS-based analytics solutions
• Collaborate with product on roadmap and feature delivery using Agile
• Embed AI capabilities: predictive models, natural language interfaces, generative features
• Move ML models from prototype to production services with data scientists
• Evaluate LLM-based tools with data privacy and healthcare compliance in mind
• Design and maintain ETL/data pipelines for dashboards and models
• Work with cloud data services (S3, Redshift, Glue, Lambda, Athena)
• Uphold data governance and healthcare data handling standards
• Lead and mentor engineers, set engineering practices and delivery processes
• Communicate progress and risks to leadership and stakeholders

Skills

TypeScript

React

JavaScript

Python

AWS

SQL

Leadership

Agile

Communication

Data analytics

Education

Bachelor's degree in CS/Engineering

Tools

AWS Lambda

AWS S3

AWS Redshift

AWS Glue

AWS Athena

CloudFormation

AWS CDK

Git

Terraform

PostgreSQL

SQLAlchemy

DynamoDB

Snowflake

Job description

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.

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.

Qualifications

• Required: 8 or more years of professional software engineering experience, including full stack development across both front end and back end technologies.
• 3 or more years leading or mentoring engineers, formally or informally.
• Demonstrated experience applying AI or machine learning within a production analytics or data product, such as predictive modeling, recommendation systems, or generative AI features.
• Strong front end development skills in TypeScript, JavaScript, and React.
• Strong back end skills in Python, and an equivalent language used for analytics and API development.
• Solid understanding of relational databases and SQL.
• Working knowledge of core AWS services relevant to data and analytics, including Lambda, IAM, S3, Redshift, Glue, and Athena.
• Experience with infrastructure as code using AWS CloudFormation and the AWS CDK.
• Experience with version control systems, particularly Git.
• Experience delivering software using Agile methodologies.
• Excellent written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders.

Preferred

• Familiarity with healthcare data interoperability standards, such as ANSI X12, HL7, and FHIR.
• Experience with healthcare claims data is a plus.
• Hands on experience with large language models, prompt engineering, retrieval augmented generation, or vector databases.
• Experience with MLOps practices for deploying and monitoring machine learning models in production.
• Experience with SQLAlchemy and PostgreSQL.
• Experience with row based databases such as Amazon RDS and Aurora.
• Experience with columnar or data warehouse platforms such as Redshift, Athena, and Snowflake.
• Experience with NoSQL databases such as DynamoDB.
• Experience with a broader range of AWS services beyond the core set, and with Azure DevOps for build and release pipelines.
• Experience with big data technologies such as Spark, or infrastructure as code tools such as Terraform.
• Background in healthcare or higher education analytics.
• AWS certification, such as AWS Certified Solutions Architect or AWS Certified Developer.
• A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.

Benefits

• medical, dental, and vision coverage to employees and dependents
• a 401(k) plan with a generous employer match
• an employee stock purchase plan
• a generous Paid Time Off policy
• paid parental leave and adoption assistance
• free annual health screenings and coaching
• bank at work
• on-site workshops
• ongoing programs recognizing major events in the lives of our employees throughout the year

All benefits and programs are subject to applicable eligibility requirements.

Position Details

Position Level Senior Associate Country United States of America

At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work...together. Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.

Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.

Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.