Technical Product Manager, Data Platform

Leap, a benefits solutions and employer specialty pharmacy company, is seeking a Technical Product Manager to own the product direction and delivery of Leap's data platform and integrations. The role centers on bringing structure to how cross-team requests reach Data Engineering, turning priorities into well-scoped projects, and owning requirements for the ingestion engine and client and partner integrations. It is a hands-on technical product role sitting within Leap's Engineering organization and working closely with Data Engineering, Platform Engineering, Analytics, Implementation, and Client Success.

Responsibilities

Own the intake process for Data Engineering and make prioritization decisions explicit; Work with requesters to understand problems, business impact, urgency, and dependencies before committing engineering capacity; Reconcile competing cross-team needs and maintain a single prioritized backlog and roadmap; Translate priorities into problem statements, requirements, dependencies, and measurable acceptance criteria; Work with engineers to break projects into milestones and track delivery and risks; Own product requirements for a reusable ingestion engine; Define requirements for data provenance, freshness, completeness, accuracy, and access controls with Analytics and Security; Scope eligibility, claims, clinical, drug pricing, and operational data integrations; Partner with Implementation on client onboarding; Identify and scope opportunities to embed Leap into client and partner tools through APIs and data exchanges; Validate completed work and integrations end to end

Requirements

Experience owning technical products or programs involving data platforms, infrastructure, or integrations, as a technical product manager, technical program manager, solutions architect, or engineer with product ownership responsibilities; Experience managing intake and prioritization across multiple teams with competing needs, including resolving disagreements, negotiating scope, and building alignment; A track record of taking ambiguous needs through scoping, prioritization, and delivery, including managing dependencies and making difficult trade-offs; Strong SQL skills and enough fluency in Python, orchestration tools, and transformation frameworks to investigate issues and challenge technical assumptions; Experience with cloud data warehouses such as BigQuery or Snowflake, ingestion tools such as Fivetran, and workflows built with tools such as Airflow and dbt; Experience delivering external file-based or API integrations with incomplete documentation, inconsistent data, and changing requirements; The ability to reason about system architecture and explain how technical choices affect delivery, reliability, cost, and future capabilities; Clear writing: producing specs engineers can build from and documentation other teams can use; Practical experience using AI tools to accelerate analysis, technical investigation, documentation, or delivery, with sound judgment about validating outputs and handling sensitive data

Nice to have

Experience with healthcare eligibility, medical or pharmacy claims, clinical data, or drug pricing; Familiarity with healthcare data standards such as X12, NCPDP, or HL7/FHIR; Experience working with PHI in a HIPAA-regulated environment; A background in data, analytics, implementation, or software engineering; Experience building reusable integration capabilities or embedding products into partner workflows; Experience establishing product and delivery practices at an early-stage company