Technical Product Manager, Data Platform

Leap · Remote · US (Remote) ·
Fully remoteFull-timeLead8+ years
COMPENSATION
$190k – $230k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Technical Product Manager
  • Data Platform & Integrations
  • Fully remote
  • SQL + Python required
  • Healthcare benefits tech

You will drive the product direction for Leap’s data platform, managing intake and prioritization for Data Engineering. The role requires translating business needs into scoped projects with clear milestones while working closely with engineers and stakeholders across the company.

What you'll do

  • Own the intake process for Data Engineering requests and visibility into decisions
  • Reconcile competing needs across teams and make trade-offs explicit
  • Translate priorities into problem statements, requirements, and acceptance criteria
  • Coordinate dependencies across teams and external partners for smooth delivery
  • Define product requirements for ingestion engine, validation, and error handling
  • Establish expectations for data freshness, completeness, and accuracy
  • Scope eligibility, claims, and clinical data integrations with clients
  • Partner with Implementation to standardize and speed up client onboarding

What you'll need

  • Experience owning technical products involving data platforms or integrations
  • Strong SQL skills and fluency in Python and orchestration tools
  • Experience with BigQuery or Snowflake, Fivetran, Airflow, and dbt
  • Track record of managing intake and prioritization across multiple teams
  • Ability to deliver external file-based or API integrations with incomplete docs
  • Clear writing skills for producing specs and documentation
  • Practical experience using AI tools for analysis and documentation
  • Ability to reason about system architecture and technical choices

Nice to have

  • Experience with healthcare eligibility, claims, or drug pricing data
  • Familiarity with healthcare data standards like X12, NCPDP, or HL7/FHIR
  • Experience working with PHI in a HIPAA-regulated environment
  • Background in data, analytics, implementation, or software engineering
  • Experience building reusable integration capabilities or embedded products

Stack

  • BigQuery
  • Snowflake
  • Fivetran
  • Airflow
  • dbt
  • Python
  • SQL