Lecturer/Senior Lecturer/Teaching Assistant Professor in Sports Analytics

Position Information

General Information Position Number 001899 Working Title Lecturer/Senior Lecturer/Teaching Assistant Professor in Sports Analytics Classification Title 9-Mo Non-Tenure Track Faculty College Coll of Computing&Informatics (Col) Department School of Data Science Position Designation Faculty Employment Type Permanent - Full-time Months per year 9 Primary Purpose of Department The School of Data Science (SDS) (sds.charlotte.edu) is an interdisciplinary unit housed in the College of Computing and Informatics (CCI). The SDS, established in January 2020, was the first School of Data Science in the Carolinas. Currently, the School offers two Bachelor of Science degrees (Data Science and Sports Analytics), two Master of Science programs (Data Science and Business Analytics and Health Informatics and Analytics), and a PhD in Data Science. The SDS teaches and researches methods to apply statistics, AI, and other analytical techniques to develop data-driven solutions to real-world problems. These areas vary from the ethical application and use of data to business, healthcare, social sciences, transportation, engineering, and more. The school has grown quickly to more than 900 students, with half of them being graduate students, and is continuing to evolve with the needs of the students, university, and the community. Currently, the school has approximately 90 full-time, joint and affiliate faculty.The College of Computing and Informatics (CCI) (cci.charlotte.edu) at UNC Charlotte is one of the most comprehensive and innovative computing colleges in the country. With over 140 faculty and staff and 5,000 students, CCI graduates more than 1,300 Bachelor’s, Master’s, and Ph.D. students a year. CCI has distinct research strengths in AI & Machine Learning, Cybersecurity & Privacy, Computational Bioinformatics & Genomics, Human-centered Design, High-Performance Computing and CS education. Located in Charlotte, the largest and fastest-growing city in the Carolinas, CCI engages with the community and neighboring industries around common social, research, and development initiatives. Vacancy Open to All Candidates Description of Work

The University of North Carolina at Charlotte recognizes the differentiation of mission, goals, and objectives inherent in the diversity of disciplines represented by its colleges and departments. Thus, the Job Responsibilities and Essential Functions for Non-Tenure Track Faculty should be interpreted in the context of the related departmental and collegiate teaching goals.

Teaching – Faculty responsibilities and essential functions with respect to teaching may include but are not limited to: subject matter competence, course design, course presentation, and grading student work.

Essential Duties and Responsibilities The qualified candidate is expected to focus on the broad area of sports analytics, including, but not limited to, evaluation of team performance, estimation of player contribution, in-game strategy, human performance, wearable technology, and/or data-driven decision making within sports. The primary role of this position includes teaching undergraduate courses in Sports Analytics and Data Science as assigned, mentoring student internships, independent studies, and scholarly projects, and participating in course/curriculum development and improvement.Scholarly Research, Creative and Other Professional Activities – faculty members are expected to engage in scholarly activities related to sports analytics education and continuously explore innovative technologies and pedagogical approaches to enhance student engagement and success.

Applicants must be committed to teaching undergraduate Sports Analytics program courses, including those involving computer programming, and be actively involved in mentoring student-driven scholarship. Minimum Experience/Education

UNC Charlotte gives primary consideration to the earned masters and/or terminal degree in the teaching discipline or a related discipline.

Preferred Education, Skills and Experience Lecturer/Sr. Lecturer
Master’s degree in Statistics, Data Science, Kinesiology, or related discipline. Demonstrated excellence in teaching at the collegiate level, and commitment to student success.

Teaching Assistant Professor:
Ph.D. degree in Statistics, Data Science, Kinesiology, or related discipline. Demonstrated excellence in teaching at the collegiate level, and commitment to student success. Evidence of leadership in instruction and instructional innovation.
Candidates who have completed all requirements except the dissertation will be considered with proof of a defense date by June 30, 2026.

Evidence of a record of collaboration within the sports analytics industry is desirable for both.

Necessary Licenses/Certifications N/A Special Notes to Applicants Applicants should attach the following to their application:

• Resume/curriculum vitae
• Cover letter indicating preference between Teaching Assistant Professor or Lecturer line
• Statement of teaching philosophy that describes teaching experience
• Statement of research experience/goals that demonstrates a record of collaboration in the Sports Analytics industry
• Contact information of at least three references

Review of applications will begin February 15, 2026, and will continue until the position is filled. Questions about the position may be directed to the Search Committee Chair, Dr. Abbey Thomas at afenwick@charlotte.edu. Final candidate subject to criminal background check and is required to provide an official transcript of their highest earned degree. Hiring is subject to budget availability.

The University of North Carolina at Charlotte is committed to equality of educational and employment opportunity and does not discriminate against applicants, students, or employees based on any protected status. Job Open Date 01/23/2026 Job Close Date Open Until Filled Yes Date Review of Applications will Begin 02/15/2026