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.

The Executive Director, DTS, AI & Automation is responsible for leading the vision, strategy, and execution of enterprise-wide AI initiatives, ensuring alignment with organizational goals while collaborating with senior leadership across clinical, operational, and finance domains. This role drives AI roadmaps, optimizes workflows through innovative technologies, manages the AI Innovation team, establishes best practices for scalable solutions, oversees resource allocation and milestone definition, and serves as the primary point of contact for AI strategy across the enterprise.

Working closely with DTS leadership, business and clinical operations teams, and key stakeholders, this position fosters AI innovation to deliver scalable and impactful solutions that transform organizational efficiency.

EEO/AA/Disability/Veteran

• 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, inspire 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 engage and leverage 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
  • Foster 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 to align with AI strategies, business needs, and ensure 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.
  • Assist various technical and operational teams with build vs. buy decisions, implementations, and ongoing monitoring.
  • Evaluate, select, and implement solutions that complement and extend AI capabilities.
• Ensure 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.
  • Lead training and change management initiatives to build organizational readiness for AI adoption.
  • Coordinates trouble‑shhooting 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.
  • Build and measure enterprise AI and automation ROI frameworks, quantifying improvements in patient outcomes, operational efficiency, and efficacy improvement.
  • Adjusting AI and automation strategies as…