Senior Product Manager, Data Platform

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Arbital Health

WebsiteLinkedInAlle Stellen

1 - 10 Mitarbeiter

Gegründet 2023

⚕️ Krankenversicherung

☁️ SaaS

💸 Finanzen

Healthcare Insurance • SaaS • Finance

Arbital Health ist ein Innovator im Bereich der wertorientierten Verträge innerhalb der Gesundheitsbranche. Durch die Nutzung eines tiefgehenden Datenwissenschaftsrahmens, fortschrittlicher Plattformfähigkeiten und spezialisierter versicherungsmathematischer Expertise agiert Arbital Health als neutraler Drittpartner zur Unterstützung von Zahlern, Anbietern und anderen Interessengruppen in Risikoverträgen. Das Unternehmen konzentriert sich auf finanzielle Ausrichtung und verbesserte Ergebnisse über alle Interessengruppen hinweg, einschließlich Medicare Advantage, Medicaid, kommerziellen Arbeitgebern und Accountable Care Organizations. Die Dienstleistungen von Arbital zielen darauf ab, Risikoverträge zu optimieren, die Patientenversorgung zu verbessern und Kosteneinsparungen zu erzielen. Durch ihre Prüfungsplattform und versicherungsmathematische Dienstleistungen stellen sie effektives Vertragsmanagement und Leistungsabstimmung in der wertorientierten Versorgung sicher.

Beschreibung

• Own the product roadmap for Arbital’s data pipeline platform, including ingestion, transformation, calculation, validation, audit trail, and AI consumption layers • Define and prioritize pipeline capabilities based on client needs, implementation learnings, engineering constraints, and long-term platform scalability goals • Translate complex healthcare data requirements from claims processing to VBC contract logic into structured, buildable product specs • Partner with leadership to align pipeline investments with Arbital’s broader product and go-to-market strategy • Write detailed PRDs, user stories, and technical specifications for platform features, configurations, and automation tooling • Work directly with engineering to scope, sequence, and ship pipeline improvements — balancing speed, quality, and flexibility • Define acceptance criteria and lead QA processes for new pipeline & platform capabilities, ensuring outputs meet accuracy and performance standards • Drive platform delivery end-to-end, owning prioritization, cross-team dependencies, and release coordination • Develop deep fluency in Arbital’s data models, pipeline architecture, and healthcare data standards (claims, eligibility, attribution, CMS/ACO files), and actuarial concepts (IBNR, rebates, contract terms) • Work hands-on with data — running SQL queries, reviewing pipeline outputs, and validating logic — to inform product decisions and support debugging • Define standards for data quality, deduplication, business rule configuration, lineage, and pipeline observability across all client environments • Evaluate and recommend tooling improvements across the platform stack (e.g., Airflow, Databricks, AWS) in partnership with engineering • Serve as the primary product owner for data capabilities across implementation, engineering, actuarial, and data science teams • Partner closely with the Implementation team to surface recurring client configuration needs and turn them into scalable platform features • Collaborate with actuarial and data science teams to ensure pipeline logic correctly supports attribution, aggregation, and actuarial use cases • Communicate roadmap priorities, tradeoffs, and delivery status clearly to both technical teams and non-technical stakeholders

🎯 Anforderungen

• 4–7 years of experience in product management, with at least 2 years owning data platform, data infrastructure, data pipelines, or platform/API products • Strong technical foundation — comfortable reading data schemas, writing SQL, and engaging meaningfully with engineering on architecture decisions • Experience working with healthcare data (claims, eligibility, value-based care) strongly preferred • Proven ability to translate ambiguous, complex requirements into clear, actionable product specifications • Excellent cross-functional collaboration skills — experience working across engineering, data science, and client-facing teams • Strong written and verbal communication skills, with an ability to tailor messaging to both technical and business audiences • High attention to detail and a strong bias toward quality in data products • Comfortable operating with autonomy in a fast-moving, early-stage environment • Hands-on experience with Airflow, Databricks, Python, dbt, or AWS data services (Nice to Have) • Background in value-based care, actuarial modeling, or population health analytics (Nice to Have) • Experience building configurable, multi-tenant data pipelines at scale (Nice to Have) • Experience with data lineage, audit trail, or data governance products (Nice to Have) • Prior work at a health tech startup or data-driven healthcare company (Nice to Have) • Familiarity with BI tooling such as Sigma or Looker (Nice to Have)

🏖️ Vorteile

• Generous equity grants of ISO stock options • We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance • 4% 401(k) match • Flexible PTO, a weeklong winter shutdown, and 10 holidays each year • Occasional travel required - Quarterly team offsites