Visiting Assistant Professor of Operations Management

St Edwards University•Austin, TX

About The Position

Visiting Assistant Professor of Operations Management Marketing, Operations and Analytics St. Edward's University, a nationally ranked and AACSB-accredited, independent Catholic university and Hispanic Serving Institution (HSI) invites applications for a Visiting Assistant Professor of Operations Management in the Department of Marketing, Operations and Analytics, beginning January 2026 or August 2026. Appointments will be made for the 9-month academic year and are potentially renewable; this position is not eligible for tenure. St. Edward's is characterized by its commitment to the Holy Cross educational mission to educate the hearts and minds of a diverse student body that is deeply committed to social justice. The successful candidate will develop and teach courses at both the undergraduate and graduate levels. Teaching emphasis will focus on contemporary operations management and business analytics practices, including undergraduate principles of operations management, business statistics, and business intelligence, and graduate courses in the Master of Science Business Analytics and Master of Business Administration programs. The Department of Marketing, Operations and Analytics has created an innovative curriculum in analytics, emphasizing the experiential learning at the undergraduate and graduate levels. The successful candidate will have the technical skills commensurate with teaching these subjects. The successful candidate will demonstrate the following qualifications: Earned Doctorate in Operations Management, Supply Chain Management, Business Analytics or a closely related field such as Industrial Engineering, Operations Research, or Management Science, preferably from an AACSB- accredited school. At least 3 years of industry experience is preferred. Ability to develop new courses and teach various management and analytical classes in undergraduate and graduate programs. These classes may include, but are not limited to, operations management, supply chain management, logistics, business analytics, statistics, Excel for Business, and artificial intelligence. Demonstrated excellence in the classroom and ability to provide experiential learning across the curriculum. Prior experience teaching in person, hybrid, and online is preferred. Proficiency with Python, R, Excel, PowerBI, Tableau, and SQL/NoSQL. Experience incorporating AI techniques and/or emerging technologies into the curriculum. Demonstrated evidence of research and scholarship potential and familiarity with the AACSB faculty qualification standards. Demonstrated ability to conduct and publish in high-quality, peer-reviewed journals in operations/supply chain management or business analytics. Willingness to engage with the business community. Excellent written and spoken English communication skills. Excellent interpersonal skills and a commitment to collegiality. Experience with and commitment to working with a diverse population consistent with the St. Edward's University mission. Documented proof of identity, employment eligibility, and completion of a successful criminal background check.

Requirements

Earned Doctorate in Operations Management, Supply Chain Management, Business Analytics or a closely related field such as Industrial Engineering, Operations Research, or Management Science, preferably from an AACSB- accredited school.
Ability to develop new courses and teach various management and analytical classes in undergraduate and graduate programs. These classes may include, but are not limited to, operations management, supply chain management, logistics, business analytics, statistics, Excel for Business, and artificial intelligence.
Demonstrated excellence in the classroom and ability to provide experiential learning across the curriculum.
Demonstrated evidence of research and scholarship potential and familiarity with the AACSB faculty qualification standards.
Demonstrated ability to conduct and publish in high-quality, peer-reviewed journals in operations/supply chain management or business analytics.
Willingness to engage with the business community.
Excellent written and spoken English communication skills.
Excellent interpersonal skills and a commitment to collegiality.
Experience with and commitment to working with a diverse population consistent with the St. Edward's University mission.
Documented proof of identity, employment eligibility, and completion of a successful criminal background check.

Nice To Haves

At least 3 years of industry experience is preferred.
Prior experience teaching in person, hybrid, and online is preferred.
Proficiency with Python, R, Excel, PowerBI, Tableau, and SQL/NoSQL.
Experience incorporating AI techniques and/or emerging technologies into the curriculum.

Responsibilities

Fulfill teaching requirements of a 7-course (4-3 or 3-4) teaching load per academic year, teaching and prepping courses and curriculum as assigned.
Courses may be in-person, hybrid, or online as assigned; undergraduate classes are scheduled for weekdays; graduate classes are scheduled for weeknights and Saturdays.
Provide academic advising and mentoring for undergraduate students.
Participate in assessment of student performance in the discipline.
Maintain an active program of quality research leading to publications in peer-reviewed business journals.
Maintain/enhance competency in operations management and business analytics through research, writing, teaching, professional development, and/or industry experience.
Interact with local, regional, national, and international business, non-profit, government, and community representatives to develop applied projects and opportunities for students.
Maintain commitment to social responsibility in the classroom setting consistent with the University's mission.
Meet School and University service requirements through participation on committees and campus initiatives.
Fulfill other required faculty responsibilities as outlined in the St. Edward's University Faculty Manual.
Other duties as assigned.