Head of Data

Seen Health

Head of Data managing the data stack and analytics at Seen Health. Responsible for data-driven decision making in healthcare.

Posted 7/11/2026full-timeRemote • California • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLTerraform

About the role

Key responsibilities & impact

AI-native data engineering: architect the whole data stack — ingestion, orchestration, warehouse, transformation, and analytics — and direct a fleet of AI agents to build and maintain it. You set the architecture, engineering practices, and quality bar; agents do almost 100% of coding
Own the pipelines that reliably move clinical (FHIR/EHR), claims (EDI 837/834/820), pharmacy, financial, operational, and internal data through Dagster, dbt, and BigQuery
Build new pathways for data in and out, structured and unstructured: state and payer feeds, vendor SFTP drops, partner APIs, regulatory exports, CMS audit deliverables, plus call recordings, visit notes, faxes, and scanned records that live outside any system of record today
Build and evolve a metadata layer that guides humans and agents: a catalog of what data exists and what it means, and a semantic layer on top so every dashboard, analyst, and agent is querying the same definition of “member,” “risk score,” and “cost of care”
Turn data into decisions: ship the metrics, dashboards, and insights that clinicians, operators, finance, and regulators rely on; measure success in decisions made faster and outcomes improved
Own the analytics behind risk adjustment and clinical quality: HCC/RAF capture, care gap closure, quality measure reporting, and the burden-of-illness view that connects clinical documentation to financial performance
Build the intelligence layer for the company: capture what happens on every call, visit, and meeting through agents and recordings, and turn it into structured signal instead of knowledge that lives in someone’s head — then use it to give leadership proactive, org-level visibility into what’s breaking before anyone has to ask
Lead the data team: hire and manage a mix of internal and external resources, set data roadmap, quality standards, and PHI/security posture

Requirements

What you’ll need

Exceptional talent and trajectory: we optimize for slope, not years
Deep fluency in SQL and Python, plus the modern data stack: dbt, an orchestrator (e.g. Dagster), a cloud warehouse (e.g. BigQuery), infrastructure-as-code (e.g. Terraform), cloud storage (e.g. GCS), and BI (e.g. Metabase)
End-to-end ownership of a 0 → 1 data system: you've architected it, shipped it, and answered for it when it broke
AI-native way of working: agents (Claude Code, Codex, or similar) are already your primary way of building, and you know how to direct, review, and verify their work
Bias for action, pragmatism, and comfort with ambiguity and evolving objectives, including direct iteration with non-technical users
Energized by standing shoulder-to-shoulder with clinicians serving vulnerable elders.

Benefits

Comp & perks

Salary is competitive and includes benefits.
Participation in company equity/stock included.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonData ArchitectureData TransformationData AnalyticsMetadata ManagementRisk AdjustmentQuality Measure ReportingData Pipeline ManagementClinical Data Handling

Soft Skills

Bias For ActionPragmatismComfort With AmbiguityCollaboration With Non-Technical UsersLeadership