Job Summary
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
Responsibilities*
Key Responsibilities
Strategic Leadership:
- Enable the execution and contribute to the evolution of Michigan Medicine?s AI strategic plan, ensuring initiatives align with institutional goals and enterprise priorities.
- Build up and lead a centralized core unit of AI-focused multidisciplinary team members who will coordinate with coalition partners across research, clinical, IT, governance, compliance, and operations.
- Develop tools for measuring impact of AI models to fuel future investment and philanthropy opportunities.
- Share a vision for an AI-enabled workforce as we navigate change management and propel our caregivers to a future work state. Serves as a champion and advocate of responsible use of AI across the health system in partnership with our many multidisciplinary stakeholders.
Responsible AI Governance:
- Establish and manage rigorous processes for AI model review, monitoring, and mitigation of bias plans, and tools in partnership with IT, compliance, legal, risk offices and other key stakeholders.
- Champion and apply `responsible AI use? principles - prioritizing human oversight, transparency, and upholding our relentless commitment to patient safety and quality.
- Work with Government Affairs teams to advocate for policies that protect our patients while enabling technological advancement in pursuit of our tripartite mission.
Operational Program Management:
- Oversee implementation of high-impact AI projects (e.g., models supporting authorizations and reimbursement, ambient clinical documentation, revenue cycle optimization, contact center and shared services automation), developing foundational structures to enable scalability and broad impact of the models.
- Build and optimize processes to identify use cases for AI, aligning the work of the core AIMM team with organizational priorities.
- Build and optimize tools to manage a broad impact portfolio in partnership with key stakeholders and end users across the health system ? develop relationships and partnership to advance the way we provide care to our patients and the communities we serve.
Education & Advocacy:
- Develop AI literacy and competency through training and communication programs for caregivers and leadership, working with our organizational learning, training, and marketing/communications teams.
- Serve as a key spokesperson and advocate for AI policy and responsible deployment, both internally and externally, in various governance presentations and committees.
Collaboration & Partnership:
- Formalize and lead interdisciplinary AI/ML coalitions, incorporating research, technical, and business expertise.
- Evaluate and engage external vendors and partners, establishing business and technical assessment criteria and supporting co-investment opportunities.
- Develop co-development/co-investment models that drive value from our living lab environment and form partnerships that help to sustain our missions through alternative revenue streams.
Required Qualifications*
- Advanced degree in computer science, data science, engineering, healthcare administration, or related field; PhD or equivalent preferred.
- 7+ years of leadership experience in AI/ML strategy, governance, and deployment - ideally in a complex healthcare, life sciences, or academic health system environment.
- Track record of leading multi-disciplinary teams and executing large-scale data/AI initiatives with measurable outcomes.
- Demonstrated expertise in responsible AI, bias mitigation, data privacy/regulatory compliance, and operationalization of AI solutions.
- Familiarity with cloud-native architectures, EHR integrations, and modern AI/ML platforms.
- Strong communication, consensus-building, and change management skills.
- Commitment to upholding Michigan Medicine's mission, values, and guiding principles for innovation and patient-centered care.
- Innovative thinker & problem solver, who can fail fast and drive understanding and learning from the journey, someone who motivates curiosity and commitment in others, particularly the core AIMM team.
Desired Qualifications*
- Experience collaborating with legal, compliance, and risk functions on AI oversight.
- Exposure to academic medicine, research, and grant-funded environments.
- Familiarity with AI vendor landscape and emerging healthcare technologies.
- Experience with organizational transformation or startup initiatives within large systems.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.