Senior Product Manager, Data Platform

Responsibilities

• 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

Requirements

• 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, Databr

Additional Information

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.

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