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 & RoadmapOwn the product roadmap for Arbital’s data pipeline platform, including ingestion, transformation, calculation, validation, audit trail, and AI consumption layersDefine and prioritize pipeline capabilities based on client needs, implementation learnings, engineering constraints, and long-term platform scalability goalsTranslate complex healthcare data requirements from claims processing to VBC contract logic into structured, buildable product specsPartner with leadership to align pipeline investments with Arbital’s broader product and go-to-market strategyExecution & DeliveryWrite detailed PRDs, user stories, and technical specifications for platform features, configurations, and automation toolingWork directly with engineering to scope, sequence, and ship pipeline improvements — balancing speed, quality, and flexibilityDefine acceptance criteria and lead QA processes for new pipeline & platform capabilities, ensuring outputs meet accuracy and performance standardsDrive platform delivery end-to-end, owning prioritization, cross-team dependencies, and release coordinationData & Technical DepthDevelop 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 debuggingDefine standards for data quality, deduplication, business rule configuration, lineage, and pipeline observability across all client environmentsEvaluate and recommend tooling improvements across the platform stack (e.g., Airflow, Databricks, AWS) in partnership with engineeringCross-Functional CollaborationServe as the primary product owner for data capabilities across implementation, engineering, actuarial, and data science teamsPartner closely with the Implementation team to surface recurring client configuration needs and turn them into scalable platform featuresCollaborate with actuarial and data science teams to ensure pipeline logic correctly supports attribution, aggregation, and actuarial use casesCommunicate roadmap priorities, tradeoffs, and delivery status clearly to both technical teams and non-technical stakeholdersRequirements4–7 years of experience in product management, with at least 2 years owning data platform, data infrastructure, data pipelines, or platform/API productsStrong technical foundation — comfortable reading data schemas, writing SQL, and engaging meaningfully with engineering on architecture decisionsExperience working with healthcare data (claims, eligibility, value-based care) strongly preferredProven ability to translate ambiguous, complex requirements into clear, actionable product specificationsExcellent cross-functional collaboration skills — experience working across engineering, data science, and client-facing teamsStrong written and verbal communication skills, with an ability to tailor messaging to both technical and business audiencesHigh attention to detail and a strong bias toward quality in data productsComfortable operating with autonomy in a fast-moving, early-stage environmentNice to HaveHands-on experience with Airflow, Databricks, Python, dbt, or AWS data servicesBack