Remotery

Senior Product Manager, Data Platform

atArbital HealthRemoteUS flagUnited StatesFull-timeData EngineerSenior$170k – $200k/year

Posted 4 hours ago

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the product roadmap for Arbital’s data pipeline platform, which encompasses ingestion, transformation, calculation, validation, audit trail, and AI consumption layers.

• Identify and prioritize pipeline capabilities driven by client requirements, implementation insights, engineering limitations, and long-term scalability objectives.

• Convert intricate healthcare data requirements from claims processing to VBC contract logic into structured, actionable product specifications.

• Collaborate with leadership to ensure that pipeline investments align with Arbital’s overarching product and go-to-market strategies.

• Compose comprehensive PRDs, user stories, and technical documents for platform features, configurations, and automation tools.

• Work directly with engineering teams to define scope, sequence, and implement pipeline enhancements, balancing speed, quality, and adaptability.

• Establish acceptance criteria and lead QA efforts for new pipeline and platform capabilities, ensuring that outputs meet accuracy and performance standards.

• Oversee end-to-end platform delivery, managing prioritization, inter-team dependencies, and release coordination.

• Develop a deep understanding of Arbital’s data models, pipeline architecture, healthcare data standards (claims, eligibility, attribution, CMS/ACO files), and actuarial concepts (IBNR, rebates, contract terms).

• Engage hands-on with data by running SQL queries, reviewing pipeline outputs, and validating logic to guide product decisions and assist in debugging efforts.

• Set standards for data quality, deduplication, business rule configuration, lineage, and pipeline observability across all client environments.

• Assess and recommend tooling enhancements across the platform stack (e.g., Airflow, Databricks, AWS) in collaboration with engineering.

• Act as the primary product owner for data capabilities across implementation, engineering, actuarial, and data science teams.

• Work closely with the Implementation team to identify recurring client configuration needs and translate them into scalable platform features.

• Collaborate with actuarial and data science teams to ensure that pipeline logic accurately supports attribution, aggregation, and actuarial use cases.

• Clearly communicate roadmap priorities, trade-offs, and delivery progress to both technical and non-technical stakeholders.


⛳️ Requirements

• 4–7 years of experience in product management, including at least 2 years of experience managing data platforms, data infrastructure, data pipelines, or platform/API products.

• Strong technical background — comfortable reading data schemas, writing SQL, and engaging effectively with engineering on architectural decisions.

• Experience with healthcare data (claims, eligibility, value-based care) is highly preferred.

• Proven capability to convert ambiguous, complex requirements into clear, actionable product specifications.

• Excellent skills in cross-functional collaboration — experienced in working with engineering, data science, and client-facing teams.

• Strong written and verbal communication abilities, with a knack for tailoring messages for both technical and business audiences.

• High attention to detail and a strong commitment to quality in data products.

• Comfortable working autonomously in a fast-paced, early-stage environment.

• Hands-on experience with Airflow, Databricks, Python, dbt, or AWS data services (Nice to Have).

• Background in value-based care, actuarial modeling, or population health analytics (Nice to Have).

• Experience in developing configurable, multi-tenant data pipelines at scale (Nice to Have).

• Familiarity with data lineage, audit trail, or data governance products (Nice to Have).

• Previous experience at a health tech startup or data-driven healthcare company (Nice to Have).

• Knowledge of BI tools such as Sigma or Looker (Nice to Have).


🏝️ Benefits

• Generous equity grants in the form of ISO stock options.

• An outstanding benefits package featuring high employer-paid contributions for health, dental, and vision insurance.

• 4% 401(k) match.

• Flexible PTO, a weeklong winter shutdown, and 10 holidays each year.

• Occasional travel required - Quarterly team offsites.

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