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Professor Of Practice All Ranks - Data Science and Information Systems
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Position Number: 5705845
Location: Lubbock, TX
Position Type: Business - Information Systems and Technology

Professor Of Practice All Ranks - Data Science and Information Systems

39036BR
Position DescriptionThe Area of Information Systems and Quantitative Sciences in the Rawls College of Business at Texas Tech University invites applications for a full-time, 9-month Professor of Practice in Data Science and Information Systems position starting September 2025. The position could be at the Assistant/Associate/Full Professor of Practice levels.

Position Description
The Area of Information Systems and Quantitative Sciences in the Rawls College of Business at Texas Tech University invites applications for a full-time, 9-month Professor of Practice in Data Science and Information Systems position starting September 2025. The position could be at the Assistant/Associate/Full Professor of Practice levels.

Major/Essential Functions
At Texas Tech University, the Professor of Practice title is used to recruit individuals with exceptional backgrounds and achievements in academic, business, government, or other professional practice. Primary responsibilities normally will be to teach in an area of expertise, mentor students in professional and career preparation, and liaise with professional contacts and entities on behalf of the department or program.

In line with TTU's strategic priorities to engage and empower a diverse student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with diverse student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service.

Required Qualifications

The candidates should possess a master's or higher degree in Information Systems, Computer Science, Business Administration or a closely related discipline.
The candidates should have knowledge and experience of using Generative AI and large language models either academically or in the industry and be willing to develop and teach Generative AI in business and information systems courses to both undergraduate and graduate students.
Successful candidates should have outstanding communication skills and be able to translate complex technical content into formats that resonate within a business context.

Preferred Qualifications

Having industrial experience of developing and/or managing Generative AI applications.
Having experience of, or interest in, teaching courses related to Web design, application development, enterprise architecture and system integration.
The track record of accomplishments in teaching and research or professional engagement that aligns with the strategic initiatives of the Area, College, and University should be commensurate with the rank applied for.

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information or status as a protected veteran.