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VP of Data & AI

LinkedIn Atria Health and Research Institute New York, NY
Executive Posted March 14, 2026 Job link
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Requirements
  • 12+ years in data engineering, AI/ML, or related technical fields, including 5+ years in leadership roles
  • Proven experience building data and AI teams from the ground up, ideally in a scaling or startup environment
  • Deep technical expertise in data architecture, data governance, and modern AI/ML systems
  • Demonstrated success redesigning or revamping data platforms to meet evolving business needs
  • Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch) and AI infrastructure at scale
  • Strong understanding of healthcare data standards, privacy rules (HIPAA, PHI handling), and regulated AI development
  • Track record of delivering AI/ML projects from concept to production with measurable impact
  • Experience building and scaling technical teams, ideally in both data engineering and AI engineering
  • Comfort and excitement working hands-on with code and modern AI/ML tools; enjoys experimenting and prototyping alongside the team.
  • Leadership & Collaboration
  • Ability to set and execute a clear vision for data and AI across a complex organization
  • Excellent communication skills, with ability to explain technical concepts to executive, clinical, and non-technical stakeholders
  • Demonstrated ability to build consensus, influence without authority, and drive cross-functional alignment
  • Experience working with product management, clinical leaders, and compliance stakeholders in a highly regulated environment
  • Experience in health tech, biotech, or similarly regulated industries
Preferred Skills
  • Experience in health tech, biotech, or similarly regulated industries
  • Background in AI platform engineering, developer tools, or ML infrastructure
  • Contributions to AI/ML research or open-source communities
  • Previous experience at a high-growth SaaS or healthcare technology company
Education
  • (Not required) – Education
  • (Required) – Bachelor's degree in Computer Science, Engineering, or related field required
  • (Not required) – Advanced degree (MS/PhD) in AI/ML, Data Science, or a related technical discipline strongly preferred.
  • (Required) – Preferred, not required:
  • (Not required) – Experience in health tech, biotech, or similarly regulated industries
  • (Not required) – Background in AI platform engineering, developer tools, or ML infrastructure
  • (Not required) – Contributions to AI/ML research or open-source communities
  • (Not required) – Previous experience at a high-growth SaaS or healthcare technology company