Lecturer

The Ohio State UniversityColumbus, OH
Onsite

About The Position

The Fisher College of Business seeks a dynamic and experienced professional to teach courses in Prompt Engineering and Data Mining, equipping students and professionals with practical skills to leverage artificial intelligence for business impact. This is a part-time position (56.26% FTE) with teaching responsibilities across both for-credit courses and open-enrollment executive education courses. We seek candidates with experience that span artificial intelligence (AI), data strategy, and enterprise technology implementation, helping organizations become data-driven, customer-centric, and operationally efficient. Primary responsibilities may include teaching courses in multiple modalities (in-class, online, hybrid) throughout the academic year; curriculum/syllabus design, content and materials development and applied learning activities. The selected candidate(s) will be expected to complete activities that support the development and teaching of undergraduate and/or graduate students, depending on chosen candidate’s degree certification. In person classes are taught on the University’s main campus in Columbus, Ohio.

Requirements

  • Master’s degree or equivalent in business or a related area.
  • Experience teaching in an executive education or adult learning environment
  • Extensive practical experience in technology consulting and AI solutioning.
  • Strong communication, teamwork and interpersonal skills.
  • Demonstrated success in building and maintaining corporate relationships.

Responsibilities

  • Creating syllabi with course descriptions and learning objectives
  • Creating and maintaining course platforms on the learning management platform (Carmen Canvas)
  • Presenting course material and guiding students through assignments
  • Creating an engaging and inclusive classroom environment
  • Commitment to student success
  • Collaboration with fellow instructors
  • Foster innovation and experimentation.
  • Evaluates and refine programs based on feedback to ensure measurable.

Benefits

  • medical insurance
  • dental insurance
  • vision insurance
  • tuition assistance for employees and their dependents
  • state or alternative retirement options with competitive employer contributions
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