Technical Product Manager, Data Platform

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

• Own the intake process for Data Engineering, giving teams a clear way to submit requests and visibility into how decisions are made.

• Work with requesters to understand the problem, business impact, urgency, and downstream dependencies before committing engineering capacity.

• Reconcile competing needs across teams, distinguish firm deadlines from preferred timing, and make trade-offs explicit.

• Maintain a single prioritized backlog and roadmap that balance client launches, business needs, platform improvements, and reliability.

• Resolve conflicting requests with stakeholders and bring decisions that require leadership input forward with clear options and a recommendation.

• Keep teams informed about what is committed, what is deferred, and why. Revisit priorities as needs change, with a clear view of the impact on existing commitments.

• Continually improve intake so that gathering requirements and reaching decisions require less back-and-forth as Leap grows.

PRODUCT OWNERSHIP & DELIVERY

• Translate prioritized needs into clear problem statements, requirements, dependencies, and measurable acceptance criteria.

• Work with engineers to break projects into deliverable milestones, test assumptions, and establish realistic timelines.

• Coordinate dependencies across teams and external partners so work is ready to proceed when engineering capacity is available.

• Track delivery, surface risks early, and agree on changes to scope or timing with the teams affected.

• Validate completed work against acceptance criteria and confirm it solves the original business need.

DATA PLATFORM & RELIABILITY

• Maintain a working understanding of the data stack: how data moves through it, which teams depend on it, and where ownership or capabilities are unclear.

• Own product requirements for a reusable ingestion engine, including validation, normalization, error handling, and onboarding workflows.

• Identify recurring manual work and one-off implementations, and prioritize shared capabilities that reduce the effort required to support growth.

• Support engineering-led architecture and tooling decisions by clarifying business requirements and weighing implications for delivery, reliability, cost, and future needs.

• Define requirements for data provenance: where data comes from, how it is transformed, where it is used, and who is responsible for it.

• Establish expectations for freshness, completeness, and accuracy with data consumers, and work with engineering on monitoring, alerting, and escalation.

• Ensure sources, data contracts, ownership, and key platform decisions are documented; drive recurring data quality issues toward durable resolution.

• Partner with Analytics on metric lineage and with Security on requirements for access controls, PHI handling, retention, and third-party data use.

CLIENT & PARTNER INTEGRATIONS

• Scope eligibility, claims, clinical, drug pricing, and operational data integrations, including formats, delivery methods, refresh cadences, and downstream requirements.

• Partner with Implementation to make client onboarding faster and more repeatable, with clear readiness criteria and ownership at each step.

• Identify and scope opportunities to embed Leap into client and partner tools through APIs, data exchanges, and workflow integrations.

• Work with external technical teams to res