Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT-serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.

Position Summary:
Tenure-track Assistant, Associate, or Full Professor faculty position. Responsibilities will include teaching undergraduate and graduate courses, advising undergraduate and graduate students, pursuing a program of research leading to publication in major academic journals in marketing and allied fields, and university service including committee and outreach activities as appropriate to the faculty member's rank and expertise.
In addition, the faculty member will teach courses in data analytics, assist in the development of new courses, publish in scholarly journals, conduct scholarly activities and provide service to the department, college and university as well as professional services to appropriate national organizations. Consistent with the University and College Strategic plan, s/he will contribute to enriching our data-driven society through knowledge and application of business intelligence & data analytics.
Information related to the Destination Areas overview can be found at the following link: http://provost.vt.edu/destination-areas.html

Required Qualifications:
Doctorate in marketing or related area with a background in Marketing Analytics and/or Quantitative Marketing (or in the final stages of completing such a doctorate) or doctoral-level degree and demonstrated academic accomplishments in marketing.
For assistant professor applicants, potential for excellence in scholarship in marketing and related areas is required. Applicants at the associate professor level must have a demonstrated record of excellence in scholarship.
Instructional capabilities at undergraduate and graduate levels.

Preferred Qualifications:



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