Executive Director, DTS, AI & Automation

Overview

To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day.

• Develops and executes the enterprise-wide AI vision, strategy, and initiative roadmap, ensuring alignment with organizational goals, security, and business outcomes.
• Serves as the organizational authority and champion for AI, inspiring a culture of collaboration, innovation, and support.
• Builds, leads, and mentors a high‑performing AI Innovation team, providing strategic direction, professional development, performance management, accountability, and continuous learning.
  • Develops and maintains strategic resource planning models, budget forecasts, and staffing strategies for the organization’s AI and automation initiatives.
  • Creates and maintains documentation standards for enterprise AI and automation assets, ensuring knowledge transfer and operational sustainability.
  • Effectively engages and leverages non‑reporting team members, such as data scientists, applied researchers, and clinical/operational subject matter experts.
• Evaluates and prioritizes AI opportunities across the organization, assessing strategic value, resource requirements, and ROI potential to build a comprehensive portfolio factoring business goal alignment, scalability, and innovation.
• Facilitates Digital/AI Implementation Advisory (DAIAD) Committee to vet and evaluate AI Use Case Proposals.
  Fosters cross‑functional collaboration to identify high‑impact use cases for AI and automation, driving innovation and measurable business outcomes.
  Partners with business and clinical stakeholders to define, document, and transform critical workflows that deliver significant operational improvements, aligning with AI strategies and ensuring seamless integration.
• Directs and oversees the development of business cases, technical feasibility studies, and cost‑benefit analyses for major AI initiatives, securing funding and resource allocation.
• Evaluates emerging AI technologies and vendor solutions, making strategic recommendations for enterprise adoption and integration.
• Assists various technical and operational teams with build‑vs‑buy decisions, implementations, and ongoing monitoring.
  Evaluates, selects, and implements solutions that complement and extend AI capabilities.
• Ensures seamless integration of AI into enterprise systems through oversight of change management, training, and post‑live performance monitoring.
• Reviews and approves high‑level design specifications for enterprise AI and automation solutions, ensuring architectural alignment, security, scalability, and high‑performance solutions.
  Leads training and change management initiatives to build organizational readiness for AI adoption.
  Coordinates troubleshooting efforts when issues are identified for programs and systems.
• Monitors program performance against strategic KPIs, providing executive‑level reporting on AI and automation outcomes and business value realization.
• Builds and measures enterprise AI and automation ROI frameworks, quantifying improvements in patient outcomes, operational efficiency, and efficacy improvement.
  Adjusts AI and automation strategies as needed to maximize value and minimize risk.
• Aligns with existing governance and ethical guidelines for AI adoption, ensuring responsible use, transparency, and alignment with organizational policies and values.
• Performs job‑related duties in conformance with DTS standards; may initiate standards.
• Performs all duties and responsibilities in such a manner as to support the "I Am Yale‑New Haven" service excellence program and to promote positive and constructive working relationships within the department.
• Performs other job‑related duties, as required.

• Bachelor degree in health management, statistics, mathematics, finance, business, science, or other relevant program or equivalent experience. A preferred advanced degree in Computer Science, Data Science, Engineering, or related field.

• With a…