Professor of Practice, Business and Technology

San Francisco Bay University•Fremont, CA

1d•Onsite

About The Position

San Francisco Bay University (SFBU) is seeking a Professor of Practice in Business and Technology. This is a full-time, non-tenure-track, 12-month contract position, renewable based on performance. The university is an accredited nonprofit institution located in Silicon Valley, focused on providing inclusive, innovative, and inspirational education for lifelong careers. SFBU aims to be a national model for higher education in service of the common good, with a strong commitment to diversity, equity, inclusion, and social justice. The role is designed for individuals with credible experience across both technology and business, such as engineers who have moved into product or strategy, founders, or business leaders with technical depth. The position involves teaching, curriculum design, pedagogical growth, and student advising, with a particular focus on integrating emerging technologies like AI into the curriculum and teaching practices. Faculty will collaborate with colleagues and utilize SFBU's Center for Empowerment and Pedagogical Innovation (CEPI) for professional development and idea sharing.

Requirements

Ph.D. in Business, Computer Science, Electrical and Computer Engineering, or a related field with expertise and experience in Business Analytics, Data Science, Data Analytics, and Dashboard Visualization.
5 years of substantial professional experience spanning both technology and business, regardless of the career path that led there.
The ability to explain technical work to business audiences and business constraints to technical ones.
Evidence of ability to teach, mentor, or train well, whether in a classroom or a workplace.
Commitment to inclusive, student-centered, experiential, and relationship-driven education.
Willingness to experiment with how AI is changing what and how we teach, and to share what you learn from it with colleagues.
Authorization to work in the United States.

Nice To Haves

Experience teaching undergraduate and graduate courses in business analytics and data visualization.
Experience teaching in diverse, student-centered environments.
Experience designing project-based or interdisciplinary courses.
A record of mentoring students, founders, or early-career professionals.

Responsibilities

Teach nine courses per academic year across the Spring, Summer, and Fall terms, drawing from the Business and ECE curricula at undergraduate and graduate levels.
Build courses around professional problems, incorporating real projects, cases, decisions with consequences, and current tools.
Provide students opportunities to make judgment calls, weigh evidence, build things, and defend their reasoning.
Help students understand the intersection of technical choices with markets, organizations, customers, ethics, and public needs.
Develop curriculum aligned with current industry trends, including integrating emerging technologies such as generative AI.
Design and revise course materials, teaching methods, and assessments in line with SFBU’s commitment to personalized, experiential, relational, and student-centered learning.
Deliver course content in AI/ML, Networking, Cybersecurity, and foundational Computer Science areas.
Make deliberate choices about where AI belongs in a course and where it does not.
Participate in CEPI workshops and learning communities, and share findings with colleagues.
Collaborate with colleagues in Business and ECE on courses, projects, and student experiences that bridge the two divisions.
Advise and mentor students on academic and career decisions, particularly those aiming for roles that cross disciplinary lines.
Contribute to curriculum review, program assessment, and accreditation.
Serve on academic and institutional committees.
Stay current in your field and in your teaching practice.