Manager, AI Strategy & Deployment

The Manager of AI Strategy and Deployment leads the people, processes, and technical delivery behind Tampa General Hospital's artificial intelligence and machine learning initiatives. Sitting within the Office of the Chief Medical Informatics and AI Strategy Officer and reporting to the Associate Chief Medical Informatics and AI Strategy Officer, this leader is accountable for taking AI capabilities from concept and validation through safe, governed, and durable deployment into clinical and operational workflows -- including tools built in-house, embedded in the EHR, and acquired from vendors. This is a hands-on leadership role. The manager builds and directs a multidisciplinary team, partners closely with clinical, operational, IT, data governance, compliance, and research stakeholders, and ensures that every model in production is monitored, validated, equitable, and aligned with institutional and regulatory expectations. This role is responsible for performing job duties in accordance with the mission, vision, and values of Tampa General Hospital.

Essential Functions\:

• Lead, coach, and develop a cross-functional team of software engineers, EHR analysts, data scientists, product managers, and project managers while establishing role clarity, performance expectations, and career development pathways.
• Oversee TGH's AI portfolio, including predictive analytics, generative AI tools, ambient documentation, clinical decision support, operational automation, and virtual care solutions.
• Direct the end-to-end AI deployment lifecycle, including intake, prioritization, solution design, integration, validation, implementation, monitoring, and ongoing optimization.
• Translate organizational AI strategy into an executable roadmap, aligning resources, priorities, timelines, and outcomes with the goals of the Office of the Chief Medical Informatics and AI Strategy Officer.
• Partner with governance, compliance, legal, privacy, clinical, and data leadership teams to ensure AI solutions meet safety, ethical, regulatory, and institutional standards.
• Establish and maintain AI monitoring and evaluation programs, including oversight of model performance, bias, equity, adoption, safety metrics, and continuous improvement initiatives.
• Lead EHR and technical integration efforts, ensuring AI capabilities are securely and effectively embedded within Epic, virtual care platforms, clinical workflows, and enterprise technology ecosystems.
• Oversee AI-enabled virtual care initiatives, including telehealth, remote patient monitoring, virtual nursing, virtual triage, and other digital health programs to improve patient access and care delivery.
• Serve as the primary operational liaison between clinical leadership, IT, research, governance bodies, business stakeholders, and external vendors, providing direction on prioritization, delivery, risks, and change management.
• Measure and communicate portfolio performance and value realization, leveraging outcome, operational, quality, safety, and adoption metrics to inform decision-making and strategic investment priorities.