This part-time, visiting faculty position will teach Data Analysis courses as part of the Executive EMBA Program. The appointment is for Fall 2022.
Teach EMGM 5310 - Data Analysis for Managerial Decision Making (face to face and/or online.)
Design the syllabus for this EMGM 5310 course.
Grade students work and exams.
Input grades into the campus online platform by the due date.
Provide feedback on the students' work and presentations.
Required Education & Experience:
Ph.D. in Data Analysis from an AACSB-International accredited school.
Seven (7) to ten (10) years of managerial, leadership or supervision roles.
Five (5) years of teaching graduate courses experiences preferably for Executive MBA Program in the last ten (10 years).
Three (3) referred journal publications over the last five (5) years.
Two (2) trade, non-refereed publications or conference proceedings over the last 5 years
Job Posting Close Date:
Open Until Filled
Please attach all required documents listed belowÂ in the attachment box labeled as either âœResume/CV or Resume/Cover Letterâ on the application. Multiple attachments may be included in the âœResume/CVâ or Resume/Cover Letterâ attachment box. Â Any additional attachments provided outside of the required documents listed below are considered optional.
Resume or Curriculum Vitae
Application Submission Guidelines:
All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, HigherEdJobs, etc. will not be considered unless the individual has applied to the available position via theÂ PVAMUÂ Career site.
The required documents listed in the above "Required Attachments" section must be attached to the application prior to the job closing date indicated to ensure full consideration for the application submitted. Please contact the Office of Human Resource on or before the closing date indicated above at 936-261-1730 or email@example.com should you need assistance with the online application process.
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