Technical Product Manager, Data Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product vision and execution for Leap’s data platform and its integrations.

• Organize and oversee the Data Engineering intake process.

• Comprehend requests, clarify the underlying needs, and prioritize tasks across various teams.

• Maintain a prioritized backlog and roadmap that balances client launches, business requirements, platform enhancements, and reliability.

• Address conflicting requests and communicate work that is committed versus that which is deferred.

• Convert prioritized needs into problem statements, requirements, dependencies, and acceptance criteria.

• Divide projects into milestones, set timelines, coordinate dependencies, and monitor delivery.

• Identify risks early and manage changes in scope or timelines.

• Validate completed work against acceptance criteria and business requirements.

• Define specifications for a reusable ingestion engine, data provenance, data quality, monitoring, alerting, and escalation processes.

• Document sources, data contracts, ownership, and decisions regarding the platform.

• Collaborate with Analytics on metric lineage and with Security on access controls, PHI handling, retention, and third-party data usage.

• Scope out eligibility, claims, clinical, drug pricing, and operational data integrations.

• Work with Implementation to enhance client onboarding experiences.

• Define APIs, data exchanges, and workflow integrations with clients and partners.

• Coordinate requirements, dependencies, testing, and launches with external technical teams.

• Validate integrations thoroughly from end to end.

• Collaborate with Data Engineering, Platform Engineering, Analytics, Implementation, Client Success, and external partners.

⛳️ Requirements

• Experience in owning technical products or programs related to data platforms, infrastructure, or integrations.

• Proven ability to manage intake and prioritization across multiple teams with competing demands.

• Demonstrated history of transforming ambiguous needs into scoped, prioritized, and delivered solutions.

• Proficient SQL skills.

• Proficiency in Python, orchestration tools, and transformation frameworks to investigate issues and challenge technical assumptions.

• Familiarity with BigQuery or Snowflake.

• Experience using Fivetran.

• Knowledge of Airflow and dbt.

• Experience in delivering external file-based or API integrations despite incomplete documentation, inconsistent data, and evolving requirements.

• Ability to reason about system architecture and articulate its impact on delivery, reliability, cost, and future capabilities.

• Strong technical writing and documentation abilities.

• Practical experience with AI tools for analysis, technical investigation, documentation, or delivery purposes.

• Sound judgment in validating AI outputs and managing sensitive data.

• Preferred: experience in healthcare eligibility, medical or pharmacy claims, clinical data, or drug pricing.

• Preferred: familiarity with standards such as X12, NCPDP, or HL7/FHIR.

• Preferred: experience handling PHI in a HIPAA-regulated environment.

• Preferred: background in data, analytics, implementation, or software engineering.

• Preferred: experience in developing reusable integration capabilities or embedding products into partner workflows.

• Preferred: experience in establishing product and delivery practices at an early-stage company.

• United States work authorization must be addressed in the application form.

• Visa sponsorship requirements should be addressed in the application form.

🏝️ Benefits

• Stock options/equity.

• Competitive total rewards package.