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Senior Technical Program Manager, Data Platform

Employment contract Full-time Remote work

Publication date: 30/08/2026

At Komodo Health, our mission is to reduce the global burden of disease. The Engineering and Product Operations team is the execution engine for Komodo's Technology and Product organization. This Senior TPM owns programs that span multiple teams and directly shape how and when new capabilities reach customers, with particular depth on the data platform that the entire product portfolio is built on. The role leads initiatives end-to-end, runs planning across the organization, and owns release gating, partnering closely with Engineering Leads, Product Managers, and platform teams.

Responsibilities

Lead complex programs end-to-end: scope, plan, sequence, deliver, and land measurable outcomes across multiple teams; Run planning for the org: drive quarterly and roadmap cycles, facilitate prioritization and resourcing tradeoffs, and align Engineering and Product on a single sequenced plan; Build and maintain program plans, timelines, risk registers, and dependency maps, and keep them current as programs evolve; Coordinate delivery of data platform capabilities (pipelines, datasets, data services, schema and data contract changes) across producing and consuming teams; Own release gating for the data platform, ensuring quality, lineage, and readiness criteria are met before ship; Drive cross-functional alignment across product, engineering, and platform teams at the senior leadership level; Represent program health, risks, and tradeoffs clearly to VP and senior leadership, and run the operating rhythms (standups, reviews, retros) that keep teams aligned; Shape how the team operates by introducing scalable planning, release, and program norms that extend beyond your own workstreams.

Requirements

Deep experience leading complex, cross-functional programs end-to-end in an engineering or product org; Track record owning org-level or multi-team planning cycles: roadmap planning, prioritization, resourcing, and dependency management, not just individual project execution; Experience working with healthcare data (claims, EHR/RWD, provider/patient identity, or coding systems like ICD/NDC/CPT) and the compliance considerations that come with it; A release-manager's instinct for gates and readiness reviews, including data quality gates, so nothing ships before it is ready; Strong technical fluency: able to engage substantively with data engineers on pipelines, schemas, lineage, and data contracts; Curiosity about how systems and data are built and where they break, rather than treating them as a black box; Ability to influence senior stakeholders and drive decisions without direct authority; Exceptional written and verbal communication, including executive-level reporting; Expected to actively use AI tools to accelerate program planning, synthesize feedback from beta programs, generate status communications, and identify patterns across large datasets. Comfort with AI-assisted workflows is a baseline expectation for this role.

Nice to have

Prior exposure to AI/ML cycles: model evaluation, data quality gates, iterative release patterns; Experience delivering data platform work: ingestion pipelines, data warehouses or lakes, data contracts, or data services; Working understanding of healthcare data and its sensitivities, or a track record of getting fluent in a complex data domain quickly; Prior experience at a high-growth or large-scale company where execution complexity required building new program infrastructure, not following existing playbooks.

Benefits

comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; leaves of absence in accordance with applicable state and local laws and regulations and company policy; performance-based bonuses; equity awards
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