About Leap

Leap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy. We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal.

Specialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers. Leap tackles this challenge with a novel approach: eliminating hidden markups, expanding access to high-quality infusion providers, and bringing clarity and fairness to how therapies are priced and paid for.

We’re proud to partner with numerous Fortune 500 companies and leading TPAs. Each patient we serve creates immediate ROI: lower costs, improved access, and better care. Join us as we redefine what’s possible in specialty care.

About the Role

Data powers nearly every part of Leap: launching new clients, identifying patients, coordinating care, sourcing drugs, and measuring savings. As we grow, more teams depend on our data platform, and their needs often compete for the same engineering capacity.

You’ll own the product direction and delivery of Leap’s data platform and integrations. A central part of your role will be bringing structure to how work reaches Data Engineering: understanding requests across teams, clarifying the underlying needs, and making explicit decisions about what gets prioritized, when, and why. You’ll build a process that makes it easier for teams to get their needs addressed and for engineers to focus on the most important work.

Working closely with our data engineers, you’ll turn those priorities into well-scoped projects with clear milestones, dependencies, and acceptance criteria. Your remit will span our ingestion engine, data quality and traceability, and integrations that embed Leap into client and partner workflows. Engineering owns architecture and implementation; you’ll help define the capabilities we need and sequence investments alongside immediate business commitments.

This is a hands-on technical product role. You should be comfortable querying BigQuery, reading Airflow DAGs and dbt models, evaluating a Fivetran connector, and investigating a malformed eligibility file. You bring the technical judgment and product discipline to clarify scope, challenge assumptions, and keep delivery on track.

You’ll work closely with Data Engineering, Platform Engineering, Analytics, Implementation, and Client Success. This role sits within Leap’s Engineering organization.

Key Responsibilities

Intake & Cross-Team Prioritization