Senior Product Manager, Data Platform

Transformcap

Deutschland

Vor Ort

EUR 65.000 - 85.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Generous equity grants of ISO stock options
Exceptional benefits package
Flexible PTO

Zusammenfassung

jobr.pro is seeking a Product Manager, Data Platform, to lead the strategy and execution of their data platform, impacting healthcare claims processing. This high-impact role involves managing the roadmap, optimizing data flow, and ensuring scalable, self-service systems for users. You'll need strong technical skills, especially regarding data schemas and SQL, along with cross-functional collaboration abilities to engage teams effectively.

The position offers an exceptional benefits package and opportunities to innovate in the healthcare domain, driving towards value-based care.

Qualifikationen

  • Experience with data platform and data pipelines.
  • Strong technical foundation in data schemas and SQL.
  • Excellent written and verbal communication skills.

Aufgaben

  • Own product roadmap for data pipeline platform.
  • Define acceptance criteria and lead QA processes.
  • Collaborate with engineering to deliver platform improvements.

Kenntnisse

Product management
SQL
Data analysis
Cross-functional collaboration
Healthcare data knowledge

Ausbildung

4-7 years of product management experience

Tools

Airflow
Databricks
AWS

Jobbeschreibung

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
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