Technical Product Manager, Data Platform

Leap

. Own the product direction and delivery of Leap’s data platform and integrations .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $190,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing data platform product direction, prioritizing technical requirements, and delivering integrations while ensuring data quality and compliance. Proficient in SQL, Python, and orchestration tools, with a strong focus on collaboration across technical teams and stakeholders.

Highest-signal resume keywords

Data Platform ManagementSQL ProficiencyPython FluencyIntegration ExperienceTechnical Documentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData IntegrationData QualityData ProvenanceBigQuerySnowflakeFivetranAirflowDbt

Soft Skills

Clear CommunicationProblem-SolvingJudgment

Tools & Technologies

Orchestration ToolsTransformation FrameworksAI Tools

Industry Keywords

Healthcare EligibilityClinical DataDrug PricingPHI HandlingHIPAA ComplianceX12NCPDPHL7FHIR

Tech Stack

Tools & technologies

AirflowBigQueryPythonSQL

About the role

Key responsibilities & impact

Own the product direction and delivery of Leap’s data platform and integrations
Structure and manage the Data Engineering intake process
Understand requests, clarify underlying needs, and prioritize work across teams
Maintain a prioritized backlog and roadmap balancing client launches, business needs, platform improvements, and reliability
Resolve conflicting requests and communicate committed and deferred work
Translate prioritized needs into problem statements, requirements, dependencies, and acceptance criteria
Break projects into milestones, establish timelines, coordinate dependencies, and track delivery
Surface risks early and manage scope or timing changes
Validate completed work against acceptance criteria and business needs
Define requirements for a reusable ingestion engine, data provenance, data quality, monitoring, alerting, and escalation
Document sources, data contracts, ownership, and platform decisions
Partner with Analytics on metric lineage and Security on access controls, PHI handling, retention, and third-party data use
Scope eligibility, claims, clinical, drug pricing, and operational data integrations
Partner with Implementation to improve client onboarding
Scope APIs, data exchanges, and workflow integrations with clients and partners
Coordinate requirements, dependencies, testing, and launches with external technical teams
Validate integrations end to end
Collaborate with Data Engineering, Platform Engineering, Analytics, Implementation, Client Success, and external partners

Requirements

What you’ll need

Experience owning technical products or programs involving data platforms, infrastructure, or integrations
Experience managing intake and prioritization across multiple teams with competing needs
Track record of taking ambiguous needs through scoping, prioritization, and delivery
Strong SQL skills
Fluency in Python, orchestration tools, and transformation frameworks sufficient to investigate issues and challenge technical assumptions
Experience with BigQuery or Snowflake
Experience with Fivetran
Experience with Airflow and dbt
Experience delivering external file-based or API integrations with incomplete documentation, inconsistent data, and changing requirements
Ability to reason about system architecture and explain effects on delivery, reliability, cost, and future capabilities
Clear technical writing and documentation skills
Practical experience using AI tools for analysis, technical investigation, documentation, or delivery
Sound judgment validating AI outputs and handling sensitive data
Preferred: healthcare eligibility, medical or pharmacy claims, clinical data, or drug pricing experience
Preferred: familiarity with X12, NCPDP, or HL7/FHIR
Preferred: experience with PHI in a HIPAA-regulated environment
Preferred: background in data, analytics, implementation, or software engineering
Preferred: experience building reusable integration capabilities or embedding products into partner workflows
Preferred: experience establishing product and delivery practices at an early-stage company
United States work authorization is addressed in the application form
Visa sponsorship requirements are addressed in the application form

Benefits

Comp & perks

Stock options/equity
Competitive total rewards package