Senior Product Manager, Data Platform
Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.
We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.
We are seeking a Product Manager, Data Platform, to own the strategy, roadmap, and execution of Arbital’s data platform – the systems that ingest, process, configure, and serve healthcare claims and contract data for value-based care. You'll define how data flows across the platform – from raw client files through standardized processing, contract configuration, financial reporting, and AI consumption – and partner with engineering, actuarial, and implementation teams to make these systems scalable, configurable, and self-serve so non-engineers can drive day-to-day operations. This is a high-impact individual contributor role for someone who is equally comfortable writing a PRD and digging into a data schema.
Responsibilities:
Product Strategy & Roadmap
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Own the product roadmap for Arbital’s data pipeline platform, including ingestion, transformation, calculation, validation, audit trail, and AI consumption layers
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Define and prioritize pipeline capabilities based on client needs, implementation learnings, engineering constraints, and long-term platform scalability goals
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Translate complex healthcare data requirements from claims processing to VBC contract logic into structured, buildable product specs
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Partner with leadership to align pipeline investments with Arbital’s broader product and go-to-market strategy
Execution & Delivery
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Write detailed PRDs, user stories, and technical specifications for platform features, configurations, and automation tooling
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Work directly with engineering to scope, sequence, and ship pipeline improvements — balancing speed, quality, and flexibility
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Define acceptance criteria and lead QA processes for new pipeline & platform capabilities, ensuring outputs meet accuracy and performance standards
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Drive platform delivery end-to-end, owning prioritization, cross-team dependencies, and release coordination
Data & Technical Depth
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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)
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Work hands-on with data — running SQL queries, reviewing pipeline outputs, and validating logic — to inform product decisions and support debugging
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Define standards for data quality, deduplication, business rule configuration, lineage, and pipeline observability across all client environments
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Evaluate and recommend tooling improvements across the platform stack (e.g., Airflow, Databricks, AWS) in partnership with engineering
Cross-Functional Collaboration
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Serve as the primary product owner for data capabilities across implementation, engineering, actuarial, and data science teams
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Partner closely with the Implementation team to surface recurring client configuration needs and turn them into scalable platform features
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Collaborate with actuarial and data science teams to ensure pipeline logic correctly supports attribution, aggregation, and actuarial use cases
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Communicate roadmap priorities, tra