{"id":2687119,"url":"https://alion.io/job/leap-health-technical-product-manager-data-platform","title":"Technical Product Manager, Data Platform","company":{"id":4417327,"name":"Leap Health","domain":"leaphealth.com","url":"https://alion.io/company/leaphealth-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":190000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T03:39:50Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T22:23:19Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Leap\nLeap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy. We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal.\nSpecialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers. Leap tackles this challenge with a novel approach: eliminating hidden markups, expanding access to high-quality infusion providers, and bringing clarity and fairness to how therapies are priced and paid for.\nWe’re proud to partner with numerous Fortune 500 companies and leading TPAs. Each patient we serve creates immediate ROI: lower costs, improved access, and better care. Join us as we redefine what’s possible in specialty care.\nAbout the Role\nData powers nearly every part of Leap: launching new clients, identifying patients, coordinating care, sourcing drugs, and measuring savings. As we grow, more teams depend on our data platform, and their needs often compete for the same engineering capacity.\nYou’ll own the product direction and delivery of Leap’s data platform and integrations. A central part of your role will be bringing structure to how work reaches Data Engineering: understanding requests across teams, clarifying the underlying needs, and making explicit decisions about what gets prioritized, when, and why. You’ll build a process that makes it easier for teams to get their needs addressed and for engineers to focus on the most important work.\nWorking closely with our data engineers, you’ll turn those priorities into well-scoped projects with clear milestones, dependencies, and acceptance criteria. Your remit will span our ingestion engine, data quality and traceability, and integrations that embed Leap into client and partner workflows. Engineering owns architecture and implementation; you’ll help define the capabilities we need and sequence investments alongside immediate business commitments.\nThis is a hands-on technical product role. You should be comfortable querying BigQuery, reading Airflow DAGs and dbt models, evaluating a Fivetran connector, and investigating a malformed eligibility file. You bring the technical judgment and product discipline to clarify scope, challenge assumptions, and keep delivery on track.\nYou’ll work closely with Data Engineering, Platform Engineering, Analytics, Implementation, and Client Success. This role sits within Leap’s Engineering organization.\nKey Responsibilities\nIntake & Cross-Team Prioritization\nOwn the intake process for Data Engineering, giving teams a clear way to submit requests and visibility into how decisions are made.\n\nWork with requesters to understand the problem, business impact, urgency, and downstream dependencies before committing engineering capacity.\n\nReconcile competing needs across teams, distinguish firm deadlines from preferred timing, and make trade-offs explicit.\n\nMaintain a single prioritized backlog and roadmap that balance client launches, business needs, platform improvements, and reliability.\n\nResolve conflicting requests with stakeholders and bring decisions that require leadership input forward with clear options and a recommendation.\n\nKeep 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.\n\nContinually improve intake so that gathering requirements and reaching decisions require less back-and-forth as Leap grows.\n\nProduct Ownership & Delivery\nTranslate prioritized needs into clear problem statements, requirements, dependencies, and measurable acceptance criteria.\n\nWork with engineers to break projects into deliverable milestones, test assumptions, and establish realistic timelines.\n\nCoordinate dependencies across teams and external partners so work is ready to proceed when engineering capacity is available.\n\nTrack delivery, surface risks early, and agree on changes to scope or timing with the teams affected.\n\nValidate completed work against acceptance criteria and confirm it solves the original business need.\n\nData Platform & Reliability\nMaintain a working understanding of the data stack: how data moves through it, which teams depend on it, and where ownership or capabilities are unclear.\n\nOwn product requirements for a reusable ingestion engine, including validation, normalization, error handling, and onboarding workflows.\n\nIdentify recurring manual work and one-off implementations, and prioritize shared capabilities that reduce the effort required to support growth.\n\nSupport engineering-led architecture and tooling decisions by clarifying business requirements and weighing implications for delivery, reliability, cost, and future needs.\n\nDefine requirements for data provenance: where data comes from, how it is transformed, where it is used, and who is responsible for it.\n\nEstablish expectations for freshness, completeness, and accuracy with data consumers, and work with engineering on monitoring, alerting, and escalation.\n\nEnsure sources, data contracts, ownership, and key platform decisions are documented; drive recurring data quality issues toward durable resolution.\n\nPartner with Analytics on metric lineage and with Security on requirements for access controls, PHI handling, retention, and third-party data use.\n\nClient & Partner Integrations\nScope eligibility, claims, clinical, drug pricing, and operational data integrations, including formats, delivery methods, refresh cadences, and downstream requirements.\n\nPartner with Implementation to make client onboarding faster and more repeatable, with clear readiness criteria and ownership at each step.\n\nIdentify and scope opportunities to embed Leap into client and partner tools through APIs, data exchanges, and workflow integrations.\n\nWork with external technical teams to resolve requirements, confirm dependencies, and coordinate testing and launch.\n\nValidate that integrations work end to end and meet the needs of the teams and workflows that depend on them.\n\nWhat Success Looks Like\nTeams know how to request work, what information is needed, and how prioritization decisions are made.\n\nCompeting requests are resolved promptly, with clear trade-offs and fewer rounds of clarification.\n\nEngineering works from an agreed set of priorities, with clear scope, known dependencies, and measurable acceptance criteria.\n\nTeams can plan around credible delivery commitments, and changes are communicated early.\n\nNew clients and data sources launch through increasingly standardized processes.\n\nData sources, transformations, and ownership are documented and traceable.\n\nPlatform investments reduce manual work, recurring issues, and the effort required to support growth.\n\nIntegrations make Leap a more connected part of client and partner workflows.\n\nQualifications\nRequired\nExperience 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.\n\nExperience managing intake and prioritization across multiple teams with competing needs, including resolving disagreements, negotiating scope, and building alignment around what gets done first.\n\nA track record of taking ambiguous needs through scoping, prioritization, and delivery, including managing dependencies and making difficult trade-offs.\n\nStrong SQL skills and enough fluency in Python, orchestration tools, and transformation frameworks to investigate issues and challenge technical assumptions.\n\nExperience with cloud data warehouses such as BigQuery or Snowflake, ingestion tools such as Fivetran, and workflows built with tools such as Airflow and dbt.\n\nExperience delivering external file-based or API integrations with incomplete documentation, inconsistent data, and changing requirements.\n\nThe ability to reason about system architecture and explain how technical choices affect delivery, reliability, cost, and future capabilities.\n\nClear writing: you produce specs engineers can build from and documentation other teams can use.\n\nPractical experience using AI tools to accelerate analysis, technical investigation, documentation, or delivery, with sound judgment about validating outputs and handling sensitive data.\n\nPreferred\nExperience with healthcare eligibility, medical or pharmacy claims, clinical data, or drug pricing.\n\nFamiliarity with healthcare data standards such as X12, NCPDP, or HL7/FHIR.\n\nExperience working with PHI in a HIPAA-regulated environment.\n\nA background in data, analytics, implementation, or software engineering.\n\nExperience building reusable integration capabilities or embedding products into partner workflows.\n\nExperience establishing product and delivery practices at an early-stage company.\n\nAt Leap, we’re building an outlier company with real impact - and that takes focus, energy, and commitment. If that excites you, we’d love to hear from you.\nLeap is an equal opportunity employer and welcomes applicants from all backgrounds. 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