About The Position

DeVry University seeks industry professionals to teach undergraduate and graduate students in a practitioner-focused learning environment. Courses meet once or twice a week for eight weeks and blend face-to-face interaction with technology, including online discussions and assignments. Faculty facilitate student learning in accordance with University requirements, develop syllabi and lesson plans, and apply teaching techniques that support course and program objectives. Faculty participate in comprehensive training and ongoing development activities. DeVry does not guarantee a specific number of work hours or assignments; these may vary according to University needs and discretion.

Requirements

  • Doctorate in Financial Analytics, Statistics, Database Management, Market Research, Qualitative Research Methods, Applied Computer Science, Information Security, or a related discipline; alternatively, an out-of-field doctorate with at least 15 graduate course credit hours in one of these fields or a related discipline.
  • Proficiency in data analysis software such as Power BI, SQL, R, Python, Tableau, Alteryx, and advanced Excel add-ons.
  • Requisite subject matter expertise and outstanding communication skills.
  • Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.
  • Additional requirements driven by state licensing or accreditation considerations may apply.

Responsibilities

  • Develop and provide students with an approved DeVry University syllabus using the local campus template and including terminal course objectives.
  • Organize, prepare, and regularly revise and update course materials.
  • Use appropriate online technologies and course-related software, including websites, email, and online discussions, to prepare and make the course accessible to students.
  • Model effective oral and written communication that engages students, provides clarity, and improves learning.
  • Set clear course expectations by publishing terminal objectives, assignment and examination dates, and the weighting of evaluation categories.
  • Ensure examination content and level correspond to course terminal objectives.
  • Prepare and grade examinations consistently and fairly, and provide timely feedback to students.
  • Integrate the responsible use of AI technologies to enhance teaching and learning outcomes, and recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Complete other duties as assigned.
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