Assistant Teaching Professor in Information Systems & Analytics

Assistant Teaching Professor in Information Systems & Analytics

The Department of Information Systems and Analytics (ISA) in the Leavey School of Business at Santa Clara University seeks applications for a full-time Assistant Teaching Professor (full-time, non-tenure track position with subsequent renewable three-year contracts) beginning in Fall 2026.

Santa Clara University and the Leavey School of Business have a long tradition of teaching excellence. The ideal candidate will possess expertise in information systems, business analytics, data science, and related fields.

The successful applicant is expected to teach undergraduate and graduate courses offered by the ISA Department.

The position duties include teaching/advising (70%), service (15%), and professional activity (15%). The expected teaching load is seven undergraduate courses over three academic quarters (Fall, Winter, and Spring). Assistant Teaching Professors are initially appointed for a three-year term. Reappointment to subsequent three-year terms depends on the availability of funds, the persistence of programmatic need, and superior teaching, service, and professional activity.

Promotion to Associate Teaching Professor and then to Teaching Professor is possible under the terms of the Collective Bargaining Agreement.

Responsibilities of Assistant Teaching Professors:
Faculty responsibilities are specified by the Santa Clara University Faculty Handbook (sec. 3.6) and the Collective Bargaining Agreement. Duties include, but are not limited to, the following:

• Teach a 7-course load equivalent per academic year.
• Fulfill all responsibilities associated with assigned courses, including:
• Conducting and appearing at all assigned class meetings in a timely and prepared manner that demonstrates a command of the discipline and skill in presenting the concepts and methods effectively;
• Assigning and evaluating student work, projects, and exams that align with course or core learning objectives and providing timely feedback to students;
• Assigning and submitting student grades that are appropriate, accurate, and fair measures of student performance to the Office of the Registrar by the designated deadline;
• Providing weekly on-campus office hours for consultation outside of class;
• Being responsive to student concerns in a timely manner;
• Conducting and submitting course assessments as required by the School;
• Participating in the assessment of student learning for courses in the Department.
• Fulfilling other instructional or academic duties as may be assigned by the Dean or the Department Chair.
• Assistant Teaching Professors are expected to provide suitable service to the Department, University, profession, and/or community.
• Professional activity for non-tenure-track faculty on the Teaching Professor track refers to scholarly or creative work, professional practice, or other active engagement in a discipline or field that enables a Faculty member to remain current in that area.

Required Qualifications:

The following is required of all candidates:

• A Ph.D. or terminal degree in Business Analytics, Operations Management, Operations Research, Information Systems, Computer Science, Data Science, or a related discipline (degree must be earned by time of appointment).
• Demonstrated ability or potential for excellence in teaching undergraduate and graduate courses in information systems and analytics.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Evidence of teaching effectiveness
• Experience with innovative pedagogy (e.g., project-based learning, experiential learning, or industry collaboration).
• Familiarity with industry practices in IT management, business analytics, or data science.

Application Procedure:
Interested applicants should fill out an application via the SCU hiring portal and submit the following documents:

• Cover Letter of Application
• Teaching Statement
• Curriculum vitae
• Graduate transcripts (unofficial, with official due upon time of hire)
• Names of three persons able to produce letters of recommendation upon request
• Evidence of teaching excellence (small portfolio of sample syllabi, faculty evaluations, and/or three-year student teaching evaluations from most recent positions)