
Manager, AI Adoption & Enablement
Rush University Medical Center
Chicago, ILFull-time$55.75–83.07/hrSeen 3w agoSeen in employer's feed 6 days ago
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Job overview
Rush University Medical Center seeks a Manager, AI Training and Adoption to lead enterprise-wide efforts that help employees use AI technologies confidently and responsibly. The role partners with clinical, operational, IT, and business leaders to develop training programs, drive organizational change, and accelerate adoption. It translates AI capabilities into practical solutions through scalable learning experiences, adoption strategies, stakeholder engagement, and change management.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: D&IS Innovation
Work Type: Full Time (Total FTE between 0.9 and 1.0)
Shift: Shift 1
Work Schedule: 8 Hr (9:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
Pay Range: $55.75 - $83.07 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
Summary:
Help shape how AI transforms healthcare.
Rush University Medical Center is seeking a Manager, AI Training and Adoption to lead enterprise-wide efforts that empower employees to confidently and responsibly use AI technologies, including Microsoft Copilot and other emerging AI tools. In this highly visible role, you will partner with clinical, operational, IT, and business leaders to develop training programs, drive organizational change, and accelerate AI adoption across the organization.
You will play a key role in translating innovative AI capabilities into practical, real-world solutions that improve productivity, enhance quality, and create measurable business value. From designing scalable learning experiences and adoption strategies to building stakeholder engagement and change management plans, you'll help shape the future of AI-enabled work at one of the nation's leading academic health systems.
If you are passionate about technology adoption, workforce enablement, organizational change, and helping people embrace new ways of working, we invite you to join us on our AI transformation journey.
Responsibilities:
AI Training & Adoption Strategy
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Develop and execute a comprehensive AI training and adoption strategy aligned with organizational priorities
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Design scalable learning programs (live, virtual, and self-paced) to support workforce AI enablement
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Identify high-value AI use cases and translate them into actionable training and adoption pathways
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Promote a culture of AI literacy and continuous learning across the enterprise
Change Management & Enablement
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Lead organizational change management efforts to support AI adoption
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Develop communication strategies that move stakeholders from awareness to sustained usage
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Create structured adoption frameworks, playbooks, and user journeys
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Address cultural and behavioral barriers to AI adoption
Training Program Development
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Build and deliver role-based AI training curricula tailored to different user groups
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Establish training metrics to measure engagement, adoption, and impact
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Continuously refine training programs based on feedback and performance data
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Leverage modern tools (e.g., Microsoft 365, Copilot) to enhance training delivery
Stakeholder Engagement & Collaboration
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Partner with executive leadership, IT, clinical, and operational teams to align AI initiatives
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Facilitate workshops, training sessions, and adoption campaigns
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Serve as a trusted advisor on AI adoption and workforce readiness
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Build communities of practice to sustain engagement and knowledge sharing
Measurement & Impact
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Define KPIs to track AI adoption, training effectiveness, and business outcomes
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Demonstrate measurable impact (time savings, efficiency gains, quality improvements)
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Provide regular reporting and insights to leadership
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Continuously optimize programs based on data-driven insights
Required Job Qualifications:
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Bachelor’s degree in information management, Computer Science, Business Administration, or a related field
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5+ years experience in training, change management, or technology adoption
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Proven ability to lead enterprise-wide initiatives and influence stakeholders
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Strong communication, facilitation, and storytelling skills
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Experience designing and delivering training programs at scale
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Experience with AI tools (e.g., Microsoft Copilot, M365 ecosystem)
Preferred Job Qualifications:
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Background in change management frameworks (Prosci, ADKAR, etc.)
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Experience in healthcare, enterprise IT, or regulated environments
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Certification in training, coaching, or program management
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Microsoft Certified Trainer
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
Position Manager, AI Adoption & Enablement
Location US:IL:Chicago
Req ID 27167
How this job compares
Set against the 879 open Change Management jobs on Olive Jobs, counted November 3, 2026.
- Openings
- Olive Jobs lists 48 open Change Management jobs in Illinois and 879 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Illinois
- AbbVie6 open
- Capital One4 open
- Oracle3 open
- Experience
- This posting asks for at least 5 years of experience; Change Management postings that state a minimum ask for 6 years at the median (794 postings).
- Education
- This posting asks for a bachelor's degree; 333 of the 879 open Change Management jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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