AI Enablement Lead

How to Apply

A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations).

Responsibilities*

• Lead structured intake and discovery with faculty and staff, map current workflows, and identify the problem, users, constraints, and baseline performance
• Translate validated needs into engagement briefs with scope, owners, success measures, risks, dependencies, and a clear handoff plan
• Plan and lead cross-functional AI enablement engagements from discovery through prototype, evaluation, adoption, and operational handoff
• Build or coordinate prototypes using approved AI tools, APIs, data sources, and workflow platforms
• Define evaluation plans that test quality, reliability, efficiency, accessibility, and user adoption before scaling a solution
• Coordinate privacy, security, data governance, accessibility, procurement, and policy reviews with the appropriate CAI and university partners
• Facilitate working sessions, demonstrations, documentation, and role-specific learning that help teams adopt new workflows responsibly
• Create reusable patterns, templates, and decision records so successful approaches can be applied across CAI
• Track engagement capacity, progress, outcomes, and risks, and provide concise portfolio reporting to the AI Council and TIS leadership
• Guide the work of the Applied AI Engineer (post-graduate fellow), student fellows, and rotating domain experts assigned to engagements

What You'll Do

The Center for Academic Innovation at the University of Michigan is seeking an AI Enablement Lead to turn high-value workflow problems into responsible, measurable AI-enabled solutions. Reporting to the Director of Technology Infrastructure and Support, you will lead engagements from discovery through evaluation, adoption, and operational handoff. You will combine consultative practice, hands-on prototyping, stakeholder facilitation, and disciplined delivery. The successful candidate is pragmatic, collaborative, and able to translate among domain experts, technologists, data and policy partners, and executive sponsors.

Required Qualifications*

• Bachelor's degree or an equivalent combination of education and experience
• Three or more years leading applied technology, product or service design, process improvement, innovation, or consulting projects
• Demonstrated experience designing or building AI-enabled workflows with large language model tools, APIs, or automation platforms
• Experience mapping workflows, facilitating colleagues, turning ambiguous needs into clear requirements and a manageable delivery plan, and supporting teams through the workflow and role changes that come with new ways of working
• Experience setting evaluation criteria and using qualitative and quantitative evidence to decide whether to continue, revise, scale, or stop a project
• Ability to lead several workstreams and cross-functional contributors with clear ownership and follow-through, including presenting progress, results, and recommendations to executives and leadership groups
• Working knowledge of responsible AI, privacy, security, accessibility, and data governance
• Ability to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilities

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 .

Additional Information

This is a 3-year term-limited position with the possibility of renewal depending on funding. The position may be renewed or converted into an open-ended base appointment.

Candidates must have legal authorization to work in the United States.

The mode of work for this position is Hybrid with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements.

The salary for this position will be based upon the selected candidate's education and experience.

We support the creative, responsible, and ethical use of AI tools to enhance our work, in alignment with institutional policies and best practices.

Excellent benefits are available, for details, see http://benefits.umich.edu/

Salary Information

The general salary range for this position is $90,000 - $96,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process.

Job Detail

Job Opening ID

284288

Working Title

AI Enablement Lead

Job Title

Business Proc Consultant Sr

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Hybrid

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Vp Acad Innovation

Department

Center for Academic Innovation

Posting Begin/End Date

10/13/2026 - 10/27/2026

Salary

$90,000.00 - $96,000.00

Career Interest

Information Technology