Senior Product Manager, Data Platform

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

• 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