Piloting AI-Driven Operational Efficiencies As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location:
220 Hutchison Rd, Rochester, New York, United States of America, 14620 Temporary, Time as Reported / Per Diem, As Scheduled Department: 220540 Deans Office SEAS Work Shift: UR - Day (United States of America) Range: UR URG 103 H Compensation Range: $18.00 - $25.14 The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
Under the guidance of the Dean of Hajim School of Engineering and Applied Sciences, this short-term, TAR position will focus on piloting AI-driven operational efficiencies. This position will complete 2-3 high-impact opportunities in workflow automation.
Essential Functions:
Conduct process reviews of 2-3 selected administrative/operational workflows to document current procedures, identify inefficiencies, and gather relevant performance data how AI could support improvement and efficiencies. Research, test, and compare AI-enabled tools to determine suitability for workflow automation, ensuring alignment with institutional policies and data security requirements. Develop and implement 2-3 small-scale pilots using AI technology to evaluate automation opportunities, tracking measurable outcomes such as time savings, error reduction, and user experience. Prepare written reports and process documentation summarizing findings, technical requirements, risks, and recommended next steps for process conversion using AI. Other duties as assigned.
Minimum Education & Experience:
Bachelor's degree required MS preferred in related field such Or equivalent combination of education and experience
Knowledge, Skills and Abilities:
Previous experience with AI tools strongly preferred The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.
