Lead Analytics Engineer

About the role

Develop Health is on a mission to use AI to radically accelerate access to life-saving medications. By automating complex, manual healthcare processes—like benefit verification and prior authorization— we've been growing rapidly and over the past couple of years have helped over 3.6 million patients!

We’re partnering with some of the largest pharmacy benefit managers and payers in the nation, revolutionizing how healthcare interactions occur by eliminating human delays and inefficiencies. Our small, elite team of founders and engineers have previously launched and exited successful healthcare startups including Rupa Health and Canvas Medical. We are now scaling rapidly following a major funding round.

ABOUT THE ROLE

We're hiring a Lead Analytics Engineer to own analytics at Develop Health. You'll reinvent how an AI-first company uses data.

Our platform sits inside the workflows that determine how quickly patients get medication. You'll own and evolve our existing customer-facing analytics product, used by providers, pharmacies, and healthcare organizations to understand approval outcomes, turnaround times, and operational bottlenecks, then decide where to intervene. The same data will shape company strategy and help our internal teams focus on the highest-impact opportunities.

You'll also build an AI-native analytics system: trusted semantic models, reusable skills, and analytics agents that can answer common questions and investigate changes safely. The goal is to multiply your impact so teams can get reliable answers without routing every request through one person.

This is a hands-on individual-contributor role with ownership of the roadmap, data platform, stakeholder relationships, internal insights, and customer-facing analytics. You'll work from our Menlo Park office at least three days per week.

WHAT YOU'LL DO — IMPACT IN YOUR FIRST 3–6 MONTHS

- Work directly with Product, Operations, Engineering, Finance, and Go-to-Market leaders to find the decisions where better data can change the outcome, then own those problems through adoption.

- Strengthen our dbt and Snowflake foundation and establish trusted metrics for patient access, automation, operational performance, and customer outcomes.

- Advance our customer-facing analytics product so customers can understand performance, identify bottlenecks, and take action to help patients get medication faster.

- Build a set of governed analytics agents, reusable skills, and self-service workflows that turn repeated requests into reliable capabilities available across the company.

WHAT YOU'LL OWN — BEYOND 6 MONTHS

- The analytics roadmap and the operating model for discovering, prioritizing, and delivering the company's highest-value data work.

- A shared semantic and metrics layer that keeps internal decisions, customer reporting, and AI-generated analysis consistent.

- An AI-native, self-service analytics platform that gives a lean analytics function disproportionate reach: internal teams can answer routine questions and investigate changes without sacrificing accuracy, context, or trust.