VP, Data & AI Strategy & Transformation

United Network for Organ Sharing

Richmond (VA)

On-site

USD 250,000 - 320,000

Full time

14 days+

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Job summary

United Network for Organ Sharing (UNOS) seeks a proven executive to lead Data & AI, defining an enterprise strategy across Data Engineering, Analytics, Data Governance and AI/ML.

Reporting to the CEO, this VP will modernize UNOS's data ecosystem, build scalable intelligent capabilities, ensure responsible AI and HIPAA/privacy compliance, and partner with product, research, technology, and leadership to maximize data-driven value.

Qualifications

  • 15+ years in data, analytics, or AI leadership.
  • 7+ years leading managers and multi-disciplinary teams.
  • Proven record in enterprise data modernization.
  • Experience with cloud data platforms.
  • Healthcare data interoperability knowledge.
  • Strong executive communication and stakeholder management.

Responsibilities

  • Define and execute enterprise Data & AI strategy.
  • Lead Data Platform modernization and governance.
  • Oversee data infrastructure including data lakes and warehouses.
  • Establish governance frameworks for data and responsible AI.
  • Align investments with organizational priorities.
  • Represent UNOS with partners and government agencies.

Skills

Strategic leadership
Data governance
Cloud architecture
AI/ML strategy
Stakeholder management
Executive communication
Healthcare data
Data platform design
MLOps

Education

Bachelor's degree in CS/related
Master's degree preferred

Tools

Azure
Databricks
Azure Data Lake
Azure Synapse
Azure Data Factory
HL7/FHIR familiarity

Job description

United Network for Organ Sharing (UNOS) seeks a proven executive to lead Data & AI, defining an enterprise strategy across Data Engineering, Analytics, Data Governance and AI/ML.

Reporting to the CEO, this VP will modernize UNOS's data ecosystem, build scalable intelligent capabilities, ensure responsible AI and HIPAA/privacy compliance, and partner with product, research, technology, and leadership to maximize data-driven value.

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