Part Time - Enterprise Technology Integration - Adjunct Lecturer

Penn State; Harrisburg (Dauphin County); On-site; USD 3,000 - 6,000; Part time

Job summary

The Pennsylvania State University, Harrisburg, School of Business Administration, invites applications for a part-time lecturer to teach ETI 100: Introduction to Enterprise Technology Integration for Spring 2027 and beyond.

The position is non-tenure-track for one semester with potential reappointment, and requires delivering lectures, preparing materials, and guiding students through AI-enabled organizational topics.

Qualifications

• Master's degree in IS/IT/AI/Business or closely related field.
• Prior college-level teaching experience.
• Familiarity with enterprise technologies: enterprise systems, cloud, data management, analytics, AI.
• Strong communication and interpersonal skills.

Responsibilities

• Deliver engaging lectures based on the established curriculum and syllabus.
• Prepare class materials, assignments, and assessments.
• Facilitate discussions on implications of emerging technologies and AI.
• Hold regular office hours to support students.
• Use Canvas to manage course content and communication.
• Contribute to an inclusive learning environment.

Skills

Teaching experience

Public speaking

Interpersonal communication

Curriculum delivery

Education

Master's degree in information systems / information technology / artificial intelligence / business

Tools

Canvas

Job description

The **Pennsylvania State University, Harrisburg, School of Business Administration**, invites applications from qualified candidates for a part-time lecturer position to teach ***ETI 100: Introduction to Enterprise Technology Integration*** during the **Spring 2027 Semester and Beyond**.These openings are one semester in duration and non-tenure-track, with the possibility of reappointment. This 3-credit General Education course introduces students to the relationship between information technology, artificial intelligence, and organizational performance. Students examine how organizations adopt and integrate emerging technologies, leverage data for decision-making, and address the opportunities, challenges, and responsibilities associated with AI-enabled systems. The course explores enterprise systems, data management, analytics, cloud computing, systems integration, project management, and the organizational impacts of technology. We seek a dynamic and knowledgeable instructor who can engage a diverse group of undergraduates and help them understand how technology supports innovation, decision-making, and organizational success. # Job Duties * Deliver engaging lectures based on the established curriculum and syllabus.* Prepare class materials, assignments, and assessments.* Facilitate discussions on the organizational, strategic, and societal implications of emerging technologies and artificial intelligence.* Hold regular office hours to support students.* Use Canvas, Penn State's learning management system, to manage course content and communication.* Contribute to a positive and inclusive learning environment. # Requirements and Qualificatio**ns** * A minimum of a master's degree in information systems, information technology, artificial intelligence, business, or a closely related field is required.* Prior college-level teaching experience.* Familiarity with enterprise technologies, including enterprise systems, cloud computing, data management, analytics, systems integration, and artificial intelligence.* Understanding of the role of information technology and AI in supporting organizational strategy, decision-making, and digital transformation.* Strong communication and interpersonal skill**s.** ## Required Application Materials: * Candidates should upload a Curriculum Vitae (CV)/resume and a letter of application indicating area(s) of interest.* In addition, candidates should be prepared to provide the names, titles, and contact information (telephone, e-mail, and mailing address) of three (3) professional references, if requested.* Applications will be received on an ongoing basis and will be reviewed as the need arises.## Application ReviewApplicants will be evaluated based on academic background, professional experience, teaching effectiveness, and demonstrated knowledge of artificial intelligence and its applications. **BACKGROUND CHECKS/CLEARANCES**Employment with the University will require successful completion of background check(s) in accordance with University policies.