Open Rank Teaching Professor - MPS in Analytics (Oakland)

About the Opportunity

About Northeastern:

Northeastern University is a global, experiential and leading research university, built on a tradition of engagement with business, industry and communities to create a distinctive approach to education, research and service. Mills College at Northeastern in Oakland, CA is committed to sustaining and extending its historic focus on preparing and empowering students for lives of meaning and impact. The College of Professional Studies offers innovative and flexible programs that allow adult learners and working professionals to complete their degrees. CPS offers associate, bachelor’s degree, certificate programs and post-baccalaureate programs in fast-growing fields such as biotechnology, leadership, business administration, finance, project management, information technology and management. Degrees are delivered in full or part-time formats and courses are offered in a variety of on-campus and online options.

The College of Professional Studies is one of nine colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

About the Opportunity:

Faculty members teach in both in-person and online modalities. The successful candidate must demonstrate strong teaching abilities, a dedication to continued improvement as an educator, and alignment with the scholar-practitioner model. Experience teaching at the master’s level, developing on ground and online courses, and proven success in working with international students are desired attributes.

The successful candidate will demonstrate an understanding of the broader analytics field and will possess experience working in industry in analytics or data science. The ideal candidate will have a record demonstrating their expertise and engagement in analytics as both a practitioner and instructor. Beyond the classroom, the candidate will engage in service to the department, college, and university, as well as professional development.

The position is a full-time, open rank, non-tenure track, renewable appointment located in Oakland, CA.

Responsibilities:

This full-time faculty member is expected to bring her/his intellectual and creative capacity to bear in 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 full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects.

Teaching & Curricular Oversight (55% of time)

• 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 Program Lead, developing and implementing course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes region-specific coursework, including formative and summative assessment of student learning, fostering student success, and delivering an exceptional student learning experience.

• Overseeing the instruction of specific courses within the curriculum. Responsibilities include supporting the Program Lead and Program Manager 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 Program Lead to ensure regional programs meet license/accreditation requirements and participate in comprehensive regional evaluations and periodic reviews.

• In collaboration with the Program 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 (20% of time)

• Collaborating with the Program Lead and Mills campus staff to establish the Analytics program within the Oakland market.

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

• Coordinating with the Program Lead and leadership of the Mills 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 in Mills in conjunction with campus staff, including academic advisors and other faculty members, to support student success.

• 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.

• Contribute to an interdisciplinary environment through active collaboration with faculty and staff across Northeastern's Oakland campus as well as the broader Global University network.

Faculty & Student Support (25% of time)

• In coordination with the Program 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 Program 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.

Faculty enjoy a collegial work environment that allows for work-life balance and are expected to be available to students online as needed for their coursework.

Qualifications:

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 terminal degree from an accredited institution in computer science, statistics, analytics, data science, or a related field

• 3+ years of professional experience in advanced analytics or data science. Possessing knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus.

• Excellent written and oral communication as well as presentation skills, with an ability to communicate technical concepts / solutions to external business partners, students, and other stakeholders.

Preferred Qualifications:

• Experience teaching at the graduate level, including online course development, facilitation, and innovative use of technology in support of learning

• Experience mentoring students from a wide range of cultural and professional backgrounds

• Fluency in R and Python as well as familiarity with commonly used tools and techniques in analytics (Tableau, Spark, SQL, etc.)

Additional Information:

Applicants should submit materials including a letter of interest, vitae, and contact information for three professional references. Please direct questions to Joe Reilly ([email protected]). Applications will be reviewed until the position is filled.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.  

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.

Pay Range:

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.