Enterprise AI Strategy | Responsible AI | Data Science Leadership
I help healthcare organizations turn AI potential into governed, scalable capabilities that improve clinical, operational, and business decisions.
I am a healthcare AI and data executive with more than 19 years of experience across enterprise technology, analytics, data science, and artificial intelligence. I lead Enterprise AI for a 13,000-employee integrated health system, advising executive, clinical, and operational leaders on strategy, governance, platforms, and responsible adoption.
My work sits at the intersection of healthcare, technology, and organizational change. I enjoy turning complex problems into practical operating models, products, and capabilities that teams can understand, trust, and sustain.
Master of Business Administration, 2015
University of Richmond, Robins School of Business
Bachelor of Science in Economics, 2005
Longwood University
Connecting healthcare priorities, responsible governance, and modern AI delivery
Portfolio direction, operating models, investment priorities, and value realization
Risk-based governance, lifecycle standards, validation, monitoring, and executive oversight
Predictive analytics, machine learning, generative AI, and measurable decision support
Build-versus-buy decisions, reusable integration patterns, and scalable delivery
Clear communication, organizational readiness, AI literacy, and talent development
OpenAI, ChatGPT Enterprise, Microsoft Copilot, Snowflake/Cortex, dbt, Python, R, SQL, and AWS
Industry service and practical perspectives on responsible healthcare AI