Vice President, Enterprise Analytics, Data Science, & AI
University of Maryland Medical System
Baltimore, MD - United States
University of Maryland Medical System (UMMS) is seeking a forward-thinking, transformational leader to serve as the Vice President, Enterprise Analytics, Data Science, & AI (VP). This is an exceptional opportunity to lead and advance analytics and AI in support of the strategic priorities of a highly regarded, regional academic health system.
The VP will report directly to the Senior Vice President, Chief Innovation Officer, and will partner closely with other senior leaders across the organization to provide executive and strategic leadership to establish the vision, strategy, and operations for managing data as a clinical and business asset. This leader will harness data, analytics, and AI capabilities to maximize their value in driving business decisions and improving clinical, operational, and financial value creation for UMMS. The VP will be responsible for advancing unified analytics, data science, and AI ecosystem, ensuring appropriate data-driven and analytics-focused problem-solving and decision-making. The VP will work with leaders and staff to manage organizational analytics and AI priorities and coordinate data assets to address the needs of UMMS.
The VP will be responsible for managing the clinical and business intelligence, data governance, and data science/AI functions. The role will also spearhead in-house development of predictive and generative AI assets/applications to address the strategic and tactical priorities of the organization and serve as a thought leader for evaluating and influencing the acquisition and implementation externally developed AI applications. The role will assume leadership for establishing assurance standards of internally developed AI applications and align such standards with those emerging from the Coalition for Healthcare AI (CHAI) and develop appropriate risk management, such as that emerging from National Institute for Standards and Technology (NIST). The role will actively contribute to the development of digital health technologies, products, and solutions at the iHarbor Innovation Center, including ideation, technical leadership, and workflow optimization. Lastly, the role will collaborate with investigators at the University of Maryland Institute for Health Computing (UM-IHC) on research projects, grant proposals, and industry partnerships.
The ideal candidate will be a visionary leader with a proven track-record leading enterprise analytics and AI in a large, complex organization, preferably in healthcare. The VP will bring strong machine learning, AI, operations management domain expertise (with prior hands-on experience developing/building AI models, solving optimization problems, etc.) strategic and operational management to mentor, grow, and advance the team into a cohesive and highly productive group that focuses on the strategic priorities of the organization while addressing the evolving healthcare realities and externalities. Additionally, the VP must be able to educate, translate, and evangelize stakeholders in the effective use of analytics, data science, and AI to drive informed decision making in support of an agile, evidence-based organization focused on strategic growth, operational excellence and performance improvement. The VP will possess exceptional relationship and team building skills, as well as the ability to lead change effectively and bring a systems approach to problem-solving, consensus-building and process improvement.
Inquiries, nominations and applications are invited. Please direct all application materials to Rachel Polhemus, Nick Giannas or Scott Dethloff via the buttons below.