Managing Director for The Data Mine at Purdue University Position Announcement

Managing Director of The Data Mine

Job Summary

The inaugural Managing Director of The Data Mine will work closely with the faculty Director.  He/she will coordinate many aspects of a new, large, interdisciplinary data science program at Purdue University.  Candidates for this position will need to manage the logistics of establishing new academic, research, residential, and professional development programs at a large scale.  The Managing Director will also help to foster the relationships with industrial partners who are working with the students.  The candidate for this position will assist in recruiting students, as well as establishing and maintaining student-faculty relationships for academic, research, and industrial experiences.  The Managing Director will work with the faculty Director and with colleagues across campus, to coordinate a substantial team of graduate and undergraduate TA’s who will assist with the courses and research experiences.  The Managing Director will assist with many aspects of internal and external grant proposals.  The candidate will necessarily work closely with teams from University Residences, especially Learning Communities and Dining.  The Managing Director should also have some direct experience with data science tools and applications, so that he/she can be directly involved in the student training seminars.  The Managing Director will also help to co-organize a variety of seminars and data science related events associated with The Data Mine.

The Data Mine is a new, cross-disciplinary effort, to educate and train undergraduate students, selected from throughout the university, about how to utilize data science tools and methodologies.  This program will involve approximately 800 students who live in Hillenbrand Hall.  The Data Mine includes 20 new Learning Communities, which will start in AY 2019-20.  The students will have research opportunities with faculty and with industrial partners.  They will have academic training in seminars, so that they learn how data science tools and methodologies are relevant for their respective disciplines.  They will have many kinds of professional development opportunities.  Potentially they could work closely with the new Data Science Consulting Service on internal campus projects.

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