Instructional Lecturer, Master of Business Analytics Program

Under the direction of the Academic Director for Master of Business Analytics (MSBA), support Lecturers, Professors, and Practicum projects. Subject matters include Practicum, Statistics, Python programming, and possibly other classes in the MSBA curriculum. Hold hands-on office hours to provide additional support to students who need extra help with Python or quantitative material (Introductory Python, Foundations of Statistics and Intermediate Statistics, and Information, Insights and Impact class). Mount materials on Canvas and/or Gradescope. Evaluate both qualitative and quantitative homework sets under the direction of the classroom instructor, including paper assignments, Canvas assignments, and Gradescope assignments. Coach student Practicum teams towards successful completion of their capstone projects through weekly agile development meetings; provide feedback on student oral and written presentations. The essential responsibility of this position includes providing our MSBA students and MSBA professors extra support to successfully implement our business analytics curriculum, especially for incoming students who do not have a technical background. Additional duties may include curriculum design, outreach and professional development, training, and evaluation of services.

Position Breakdown:

60% - Direct assistance to students.

30% - Curriculum design, outreach and professional development.

5% - Training.

5% - Evaluation.

Application materials for this lecturer position should include a cover letter, vitae/resume, evidence of teaching ability, a diversity statement and contact information for two references. This recruitment will have an initial review date; however, the position will remain open until filled. Only completed applications will be reviewed. Applicants should submit their application and supporting materials via our online recruitment system (https://recruit.ucdavis.edu/ ).

Unit 18 Lecturers are governed under a collective bargaining agreement (American Federation of Teachers (AFT) - Non-Senate Instructional Unit). Under this contract, once a lecturer accumulates enough quarters of service, the lecturer can be reviewed for a Continuing Lecturer position. For more information about this contract, visit https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ix/contract.html

Bachelor's degree in a related field - ideally computer science, business analytics, or similar.

Ability to work our hours, typically Tuesday through Saturday 9 am - 5 pm, including Thursday and/or Friday evenings, in combination of in-person and hybrid hours.

* Experience in analytics consulting projects, especially agile project management.

* Master's degree in a related field - ideally computer science, business analytics, or similar.

* Strong experience with Canvas, including setting up assignments and quizzes.

* Experience with both in-person and remote teaching.

* Experience tutoring both individuals and groups of students.

* Experience in LLMs, such as being able to build a chatbot and make API calls to OpenAI.

• 2-3 required (contact information only)

UC Davis is a smoke and tobacco-free campus (http://breathefree.ucdavis.edu/).

We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

For the University of California's Affirmative Action Policy, please visit: https://policy.ucop.edu/doc/4010393/PPSM-20

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