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Health Data Product Manager

Veeva Crossix·Israel·en
On-siteFull-timeProduct ManagementEnterprise Software

Own health data onboarding and data quality for a healthcare data platform. Partner with data providers and internal technical teams to improve data reliability and product capabilities.

Responsibilities

  • Design and own health data onboarding features from initial planning through delivery
  • Define user stories, functional and non-functional requirements, mapping specifications, data dictionaries, and quality checks
  • Manage onboarding plans, release and sprint planning, prioritization, stakeholder communication, and technical risk mitigation
  • Establish data quality metrics, monitoring, and dashboards
  • Track data quality across suppliers and lead issue investigation and resolution
  • Analyze how new data affects the data network and identify product improvements
  • Collaborate with data partners, engineering, QA, data operations, and product teams
  • Build expertise in prescription, medical claims, and other inbound healthcare data
  • Develop roadmaps and improvement plans for the data product

Requirements

  • 5+ years managing outbound communication with high-profile US-based customers
  • 5+ years of project management experience
  • 3+ years working with data pipelines, including ETL/ELT processes, schemas, and analytics
  • Experience designing data transformations, mappings, and reference tables
  • Proficiency in SQL
  • Experience with data visualization tools such as Sigma
  • Experience investigating data issues and collaborating with data scientists on complex analysis
  • Understanding of cloud-based applications and designs
  • Understanding of healthcare data, including prescription claims, medical claims, and EHR data
  • High English proficiency
  • Bachelor's or master's degree in a relevant field

Nice to have

  • Life sciences, SaaS, or enterprise product experience
  • Familiarity with security protocols and data privacy regulations
  • Understanding of NoSQL databases
  • Additional understanding of prescription claims, medical claims, and EHR data

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