Technical Product Manager, Data Platform

Leap is hiring a Technical Product Manager to own the product direction and delivery of its data platform and integrations. The role structures cross-team intake and prioritization, translates needs into scoped engineering work, and drives platform reliability and client and partner integrations.

Responsibilities:

• 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
• 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
• 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
• 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 resolve requirements, confirm dependencies, and coordinate testing and launch
• Validate that integrations work end to end and meet the needs of the teams and workflows that depend on them

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 around what gets done first
• 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: you produce 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
• 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