arbitalhealth - Senior Product Manager, Data Platform

• 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. • Product Strategy & Roadmap • 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 • Execution & Delivery • 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 • Data & Technical Depth • 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 • Cross-Functional Collaboration • 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