The Senior Business Systems Analyst will serve as the primary operational resource for AI-enabled technology platforms supported by the Innovation Office. This role is responsible for managing the full lifecycle of technology rollout, customization, and ongoing support including customer onboarding, user training, operational monitoring, and continuous improvement of workflows that deliver measurable value.
Why This Role Matters
The Innovation Office's technology platforms deliver value for Michigan Medicine through operational and quality improvements. This role ensures we can scale deployments to meet growing demand while maintaining quality and user satisfaction. You'll be at the forefront of operational AI deployment, translating complex technology into tangible workflow change that saves time, reduces costs, and improves care delivery.
Team and Reporting
This position reports to the Managing Director of AI at Michigan Medicine and works closely with solution architects and data scientists in the AIMM team. You'll partner with stakeholders across clinical departments, Health IT Services, Epic integration teams, and Innovation Office leadership.
Work Environment
Hybrid arrangement with on-site presence for stakeholder meetings and training. Business hours (Monday-Friday) with occasional flexibility for go-live events.
Technology Rollout and Customization
Lead end-to-end onboarding of clinical departments onto platforms following structured stage-gate methodology (Intake - Scoping - Setup - Configuration - Training - Validation - Go-Live - Hypercare - Active)
Set up and configure new deployments including workflow customization, integration setup, and coordinating technical infrastructure with partner technology groups
Conduct requirements gathering sessions with clinical stakeholders to document use cases, workflows, and configuration needs
Configure user access, permissions, and platform settings tailored to departmental requirements
Deliver user orientation, training sessions, and documentation for new implementations
Manage validation windows to ensure workflow accuracy before go-live
Provide intensive hypercare support (1-2 weeks post-launch) with daily check-ins and rapid issue response
Ongoing Support and Quality Management
Monitor the health of active deployments including system performance, processing failures, permission issues, and workflow bottlenecks; triage issues using runbooks and escalate as needed
Run analysis of operational KPIs (volumes, turnaround times, adoption, quality indicators) and build dashboards to track performance and ROI
Maintain SOPs, troubleshooting guides, and platform documentation; serve as primary point of contact for clinical users
Stakeholder Engagement and Continuous Improvement
Partner with departments (contact center teams, specialty groups, Health Information Management) to understand evolving workflow needs
Collaborate with data science and engineering teams to translate business requirements into technical specifications for platform enhancements
Identify opportunities for workflow optimization, feature requests, and expanded use cases
Support change management and communication for platform updates and new feature releases
Build relationships across Michigan Medicine to expand platform adoption and demonstrate operational AI value
Compliance and Clinical Standards
Ensure implementations align with policy; maintain audit trails for regulatory compliance
Partner with Health Information Management on document type taxonomy and support governance processes
Bachelor's degree in allied health, health informatics, healthcare administration, or related field
3+ years experience in clinical operations, health IT implementation, or clinical systems analysis
Deep understanding of clinical workflows and operational processes in healthcare settings
Experience with electronic medical records (Epic preferred) and health information management workflows
Proficiency in SQL for querying, reporting, and data analysis
Strong project management skills with ability to manage multiple onboarding projects simultaneously
Excellent communication skills to collaborate with clinical users, IT teams, and leadership stakeholders
Experience in healthcare technology, health IT, or healthcare operations environments
Familiarity with AI/ML applications, contact center operations, or revenue cycle processes
Python experience for automation and data analysis
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.
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.
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.
The University of Michigan is an equal employment opportunity employer.
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.