Tenure-Track Faculty-Business Analytics, Sawyer Business School
2 days ago
Suffolk University's Sawyer Business School invites applications for a tenure-track faculty position in Business Analytics at the assistant professor level in the Information Systems and Operations Management (ISOM) Department, beginning July 2025.
About Us:
Suffolk University has a long-standing tradition of excellence, providing innovative and high-quality education to students from across the globe. The Sawyer Business School, accredited by AACSB International, values collaboration, creativity, and engagement both in and out of the classroom.
Suffolk University is dedicated to a diverse and inclusive academic community. Diversity, equity and inclusion are woven into our fabric. Founded in 1906 to provide access to legal education during the evening for individuals who might not otherwise have been afforded that opportunity, Suffolk University consistently seeks to advance its history and mission as a school of access and opportunity. This mission is lived through our decisions at every level. U.S. News ranked Suffolk University among the top 100 universities in the country for social mobility. Suffolk was also listed 14th nationally in percentage of international students. Through student, faculty and staff recruitment and support, community engagement, curriculum development, and research, the University community works to advance equity for every student, every day. Learn more about how we manifest the core values of our mission at Suffolk DEI.
Position Overview:
This faculty position involves teaching five courses per academic year, with a one-course reduction during the first year. Faculty are expected to engage in student advising and mentoring, maintain a strong research and publication agenda, and actively participate in the life of the department, college, and university through committee work and other service roles.
We are particularly eager to hear from candidates who can contribute to an inclusive teaching and research environment that attracts and supports a diverse student body.
We are seeking candidates with the following qualifications:
Required qualifications:
• A completed or nearly completed Ph.D. in Business Analytics, Data Science, Information Systems, Operation Management, or related areas from an AACSB-accredited institution or equivalent (by August 31, 2024).
• Experience designing and delivering courses in business analytics at undergraduate and/or graduate levels, with a focus on hands-on exercises and real-world applications.
• Demonstrated expertise in business analytics, artificial intelligence, data visualization, machine learning, and programming languages such as R, Python, or SQL. Knowledge of Cybersecurity is a plus.
• Strong potential for teaching excellence and impactful research.
Additional Considerations:
• Committed to Community:contributes to a climate of civility, honesty, cooperation, professionalism and fairness
• Committed to Diversity:establishes a climate that welcomes, celebrates, and promotes respect for diversity
• Student Engagement: demonstrated ability to engage students in the subject matter and in student activities
• Take Initiative: interest in and demonstrated ability to meaningfully participate and to lead teams focused on strategic initiatives
• Outcomes focused:ability to set priorities and organize work streams to achieve learning outcome results aligned with the University and Sawyer Business School mission and goals
• Innovative and Creative:inspires and develops new approaches to addressing challenges and problems
Application Procedure:
Interested candidates should submit a cover letter, curriculum vitae, teaching statement, evidence of teaching effectiveness (e.g., course evaluations), and contact information for three professional references. Applications should be submitted electronically via this site (see apply option below). The position will remain open until filled, with an anticipated start date in July 2025.
Contact Information:
For further inquiries, please contact Professors Seokjin Kim (kim@suffolk.edu), Hasan Arslan (harslan@suffolk.edu), or Chrisy Yao (yyao@suffolk.edu).
PDN-9d4d8f3f-fddd-488d-86ea-238f93e9ae29-
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