Hybrid Visiting Professor of Business Intelligence Analytics Management

Responsibilities

• Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
• Organizes, prepares, and regularly revises and update all course materials.
• Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
• Models effective oral and written communications that engage the students, provide clarity, and improve student learning.
• Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
• Ensures that the content and level of material included on exams correspond to the course terminal objectives.
• Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.
• Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
• Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
• Completes other duties as assigned.

Qualifications

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Doctorate degree in Financial Analytics, Statistics, Database Management, Market Research, Qualitative Research Methods, Applied Computer Science, Information Security, or out-of-field doctorate with a minimum of 15 graduate course credit hours in Financial Analytics, Statistics, Database Management, Market Research, Qualitative Research Methods, Applied Computer Science, Information Security, or related discipline.
• Proficient in data analysis software such as Power Bi, SQL, R, Python, Tableau, Alteryx, and advanced Excel add ons.
• Additional requirements driven by state licensing or accreditation considerations may apply.
• Faculty must have requisite subject matter expertise and outstanding communication skills.
• Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

Pay