Teaching Faculty Position in Enterprise Technology Integration

The Pennsylvania State University•University Park, FL

9d•Onsite

About The Position

The Department of Human-Centered Computing and Social Informatics in Penn State’s College of Information Sciences and Technology invites applications for an open-rank, non-tenure-line teaching faculty position in Enterprise Technology Integration. The appointment is a term position beginning in January or July 2027 at the University Park campus in State College, Pennsylvania. Fully remote appointments are not permitted. The position has an excellent possibility of renewal as a multi-year appointment; continuation depends on university need, performance, and/or funding availability. The ETI program prepares students to design, integrate, and deliver technology solutions within real organizations. The successful candidate will bring enterprise-level technology experience and evidence of excellence in teaching, training, or mentoring. They will collaborate with ETI and IST faculty on curricular innovation and development, teach learners from varied backgrounds and at all levels, and maintain an interest in continued learning, particularly in agentic AI, orchestration, and automation. The position primarily involves teaching undergraduate courses, especially upper-level courses in enterprise systems integration, advanced database management, enterprise analytics, cloud computing, IT project management, technology adoption and organizational change, and enterprise AI solution delivery. The faculty member will also advise and coach student teams in capstone courses delivering solutions for real clients. Additional topics may include distributed databases, API and integration platforms, responsible AI in enterprise settings, and enterprise application development, CI/CD, containerization, deployment, and application lifecycle management. Some introductory teaching may be needed to meet program needs. University service is expected. Applicants must hold a master's degree or PhD by the appointment start date in a relevant field, such as information sciences and technology, informatics, information systems, computer science, data science, business, or education. They must also have substantial enterprise-level technology experience, such as leading or managing systems administration, enterprise systems integration, data and analytics, cloud platforms, or technology implementation. Corporate experience is strongly valued. Rank will be commensurate with education and experience in accordance with Penn State policy AC21.

Requirements

Hold a master's degree or PhD by the appointment start date in a relevant field, such as information sciences and technology, informatics, information systems, computer science, data science, business, or education.
Have substantial enterprise-level technology experience, such as leading or managing systems administration, enterprise systems integration, data and analytics, cloud platforms, or technology implementation.
Provide evidence of excellence in teaching, training, or mentoring.
Demonstrate a commitment to teaching learners at all levels and from all backgrounds.
Have an interest in continued learning, especially in agentic AI, orchestration, and automation.
Submit a cover letter, a teaching statement limited to two pages, a CV or resume, and contact information for at least three professional references, combined into a single PDF.

Nice To Haves

Experience in corporate settings is strongly valued.
Evidence of experience working in enterprise environments; applicants are asked to describe the scale and complexity of those environments.

Responsibilities

Teach undergraduate courses, primarily at the upper level, in areas including enterprise systems integration, advanced database management, enterprise analytics, cloud computing, IT project management, technology adoption and organizational change, and enterprise AI solution delivery.
Advise and coach student teams in capstone courses where students deliver solutions for real clients.
Teach additional topics as appropriate, potentially including distributed databases, API and integration platforms, responsible AI in enterprise settings, and enterprise application development, CI/CD, containerization, deployment, and application lifecycle management.
Provide introductory teaching when needed to meet program needs.
Collaborate with ETI and IST faculty on curricular innovation and development.
Provide university service.