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Open Rank Full Time Faculty: Analytics (Toronto)

Northeastern University
Massachusetts, United States
Salary Not specified
Posted date
Aug 17, 2021

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Position Type
Faculty Positions, Business & Management, Accounting & Finance
Employment Level
Non-Tenured Track
Employment Type
Full Time
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Open Rank Full Time Faculty: Analytics (Toronto)

About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:
The College of Professional Studies (CPS) at Northeastern University invites applications for the position of full-time, non-tenure track Teaching Professor in the Master of Professional Studies in Analytics program. The position is based at our campus in Toronto, Canada and will be responsible for supporting our Toronto campus. The successful candidate will be appointed to a full-time, non-tenure track faculty position at the rank of assistant, associate, or full Teaching Professor. Candidates with exceptionally distinguished professional backgrounds may be considered for the rank of Professor of the Practice. The position will remain open until filled by a qualified candidate. The anticipated start date is September 1st, 2021, with the possibility of an earlier start.

This full-time faculty member is expected to bring her/his intellectual and creative capacity to bear in the advancement of the program, seeking to serve students by participating in a range of teaching and non-teaching activities that support the advancement of the program. S/he will teach a minimum of 6 courses in the Master of Professional Studies in Analytics spread throughout the year and will work with the program office on administrative issues and programmatic projects.

Teaching & Curricular Oversight

  • Teaching core courses, such as introduction to Analytics, Probability and Statistics, Data Communication and Visualization, as well as concentration courses in the areas of Applied Machine Intelligence, Evidence Based Management, and Statistical Modeling.

  • In conjunction with the Faculty Lead, developing and implementing course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes region specific coursework as desired.

  • Overseeing the instruction of specific courses within the curriculum. Responsibilities include supporting the Faculty Lead in the selection of instructors, advising on syllabi, and evaluating instructor performance.

  • Identifying and providing recommendations to keep curriculum relevant and industry leading.

  • Working with the Faculty Lead to ensure regional programs meet license/accreditation requirements and participate in comprehensive regional evaluations and periodic reviews.

  • In collaboration with the Faculty Lead, creating modularity guidelines and recommendations for program content integration across the programs and regional campuses.

    Teaching and actual course load may vary with other responsibilities, which include, but are not limited to:

    Program, Region, and College Support

  • Collaborating with the Faculty Director, Faculty Lead, and Toronto campus staff to establish the Analytics program within Toronto market.

  • Creating and supporting local events to add value to the experience of Analytics students at the Toronto campus, including events that connect students with local industry practitioners, associations, and employers.

  • Coordinating with the Faculty Lead and the Associate Dean of the Toronto campus in the creation and management of local industry advisory boards as may be required.

  • Representing the program in regional orientations, open house events, and admitted student events.

  • Tracking the progress of Analytics students at the Toronto campus. Working with Toronto campus staff, including academic advisors and other faculty members, to support student success.

  • In collaboration with the Faculty Lead and the Director of Strategic Partnerships at the Toronto campus, identifying and engaging possible Co-op and experiential learning sponsors to establish relationships and define engagement.

  • Participating in program and faculty committee meetings as applicable.

  • Serving on committees that support the mission of the program and the vision of the College and wider University.

  • Support the definition of processes and best practices for leveraging professional networks within the region and among the private sector to create deeper connections between stakeholders.

    Faculty & Student Support

  • In coordination with the Faculty Lead, assess and enhance instructional quality of courses by offering follow-up coaching to part time faculty across the Northeastern network for courses assigned to him/her.

  • Collaborating with the Faculty Lead to recruit and vet qualified candidates for part time faculty positions.

  • Assisting the program in the onboarding of new part time faculty across the Northeastern network for courses assigned to him/her and maintaining ongoing communications and mentorship to gauge engagement within the program.

  • Providing opportunities for part time faculty to engage with program and college activities; seek their professional and curricular feedback.


  • In addition to supporting the Toronto campus, occasional travel will be required to the University's Campuses in [Boston, Silicon Valley, Seattle, Charlotte, Vancouver, Portland]

  • The potential for transnational work is also possible.

    The successful candidate must demonstrate strong teaching abilities and a dedication to continued improvement as an educator. Experience teaching at the master's level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes.

    The successful candidate will have the following qualifications and characteristics:

  • A doctoral degree from an accredited institution either in analytics or a related field.

  • Demonstrate a dedication to continued improvement as an educator and a desire to align with the scholar-practitioner model.

  • The ideal candidate will have a minimum of 5-7 years' experience in a leadership role in advanced analytics. Knowledgeable about how to manage, analyze, communicate, visualize, and lead with Artificial Intelligence is a plus.

  • The successful candidate must demonstrate strong teaching abilities (both on-ground and online), and a dedication to continued improvement as an educator. Experience teaching at the master's level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes.

  • Previous work experience in analytics in the private sector is a must.

  • Applicants who are eligible to work in Canada are preferred.

    Preferred Qualifications:


    Salary Grade:

    Additional Information:

    Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

    All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

    To learn more about Northeastern University's commitment and support of diversity and inclusion, please see

    To apply, visit

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