Lead Analytics Engineer

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, the company has helped over 3.6 million patients. It partners with some of the largest pharmacy benefit managers and payers in the nation. The team of founders and engineers previously launched and exited Rupa Health and Canvas Medical and is now scaling rapidly following a major funding round. The role is a hands-on individual-contributor position based at the Menlo Park office at least three days per week.

Responsibilities

Own the existing customer-facing analytics product used by providers, pharmacies, and healthcare organizations; Own the analytics roadmap, data platform, stakeholder relationships, internal insights, and customer-facing analytics; Work with Product, Operations, Engineering, Finance, and Go-to-Market leaders to find decisions where better data can change outcomes; Strengthen the dbt and Snowflake foundation and establish trusted metrics for patient access, automation, operational performance, and customer outcomes; Advance the customer-facing analytics product so customers can identify bottlenecks and take action; Build governed analytics agents, reusable skills, and self-service workflows; Build and own a shared semantic and metrics layer; Build an AI-native, self-service analytics platform; Define the architecture and standards for scalable data products; Provide technical mentorship for future analytics hires

Requirements

At least 3 years of hands-on analytics or data engineering experience; Deep expertise in SQL and dbt; Experience with Snowflake or another modern cloud data warehouse; Problem ownership: work directly with stakeholders to turn ambiguous questions into the right analysis, metric, model, dashboard, workflow, or data product, and carry it through adoption and measurable impact; Clear communication: surface assumptions, explain trade-offs, and make complex data useful to technical and non-technical partners; AI-native execution: excited to build with agents and emerging analytics tools while owning definitions, validation, and guardrails

Nice to have

Experience owning or helping build an analytics function; Experience building customer-facing analytics or data products; Familiarity with Grafana, Hex, Looker, Mode, Python, orchestration, or ingestion systems; Experience in healthcare, regulated industries, or automation-heavy operational environments

Benefits

Competitive base salary plus meaningful equity; Health, dental, and vision coverage; Flexible PTO; High-end workstation and tooling budget, including AI tools