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

• 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

Nice to Have

• Hands‑on experience with Airflow, Databricks, Python, dbt, or AWS data services
• Background in value‑based care, actuarial modeling, or population health analytics
• Experience building configurable, multi‑tenant data pipelines at scale
• Experience with data lineage, audit trail, or data governance products
• Prior work at a health tech startup or data‑driven healthcare company
• Familiarity with BI tooling such as Sigma or Looker

Benefits

• Generous equity grants of ISO stock options
• Exceptional benefits package with high employer‑paid contributions for health, dental, and vision insurance
• 4% 401(k) match
• Flexible PTO, a week‑long winter shutdown, and 10 holidays each year
• Occasional travel required — quarterly team offsites
• Opportunity to build a critical software platform that accelerates the American healthcare system’s transition to value‑based care