Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses

William & Mary; United States; Remote; USD 33,000 - 45,000; Part time

Job summary

William & Mary is recruiting a pool of Adjunct Faculty (Section Leads) to oversee one or more 7.5-week asynchronous course sections in the Online MSBA and Online MBA programs. Section Leads will post announcements, manage discussions, hold weekly office hours, and provide timely feedback to students.

Under Faculty Lead supervision, Section Leads engage with students, adhere to course design and grading guidelines, and participate in ongoing professional development.

Qualifications

• Master's degree in business/data analytics, computer science, information systems, or closely related field.
• Significant expertise and relevant professional instructional experience in business/data analytics or related fields.
• Experience instructing adult learners in academic or corporate settings.
• Demonstrated excellence in communicating and collaborating in digital environments.
• Commitment to inclusive and supportive learning environments compatible with William & Mary standards.

Responsibilities

• Maintain frequent and open communication with William & Mary faculty and staff.
• Complete online instructor orientation and ongoing training.
• Review course syllabus, content, activities, and assignments before term start.
• Adhere to course design, instructional and grading guidelines, and deadlines.
• Post at least two weekly announcements related to course content and activities.
• Respond to student inquiries within 24 hours.
• Provide timely, personalized, substantive feedback on graded submissions.
• Grade assignments and exams within 48–72 hours per rubric.
• Monitor and participate in weekly discussion boards.
• Offer virtual office hours totaling at least one hour per week.
• Monitor student progress and notify the Faculty Lead if a student is unresponsive or at risk.

Skills

Digital communication

Collaboration

Teaching adults

Education

Master's degree in business/data analytics or related field

Job description

Job Requisition: JR101883 Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses (Open)

Job Posting Title: Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses

Department: CC00171 WM001 | SOB | OLP - MSBA

Job Family: Faculty - Adjunct

Worker Sub-Type: Adjunct (non-benefited)

Job Requisition Primary Location: Remote Work - Virginia

Primary Job Posting Location: Posting Location - William & Mary

Job Description Summary

The Raymond A. Mason School of Business at William & Mary is recruiting a pool of Adjunct Faculty (Section Leads) to lead one or more 7.5-week asynchronous course sections within the Online Master of Science in Business Analytics and Online MBA programs. Please visit the following website to learn more about these program: https://online.mason.wm.edu/

Section Leads serve a vital role within our online programs and are valued members of the Raymond A. Mason School of Business (MSOB) and the William & Mary community. Under the supervision of the Faculty Lead, Section Leads facilitate their assigned course section(s) by posting course announcements, engaging in discussion boards, offering weekly office hours, responding to student inquiries, monitoring student progress, grading student assignments, and providing students with substantive, timely feedback. Section Leads are provided with professional learning opportunities and are invited to attend on-campus events.

Job Description

• Maintain frequent and open communication with William & Mary faculty and staff through email, mail, telephone, and any other medium deemed appropriate.
• Complete online instructor orientation and technology training before teaching online for the Mason School and complete continuing training each year after.
• Review course syllabus, content, activities, and assignments prior to the term start date.
• Adhere to the course design, instructional and grading guidelines, and due dates.
• Post a minimum of two weekly announcements relevant to the course content and learning activities.
• Respond to student inquiries within 24 hours.
• Provide students with timely, personalized, and substantive feedback on graded assignment submissions.
• Grade assignments and exams in a timely manner based on the instructions/rubrics provided by the Faculty Lead (48 - 72 hours).
• Monitor and participate in weekly discussion boards.
• Offer virtual office hours (drop-in or by appointment) totaling at least one hour per week for individual or group consultation and communicate this information through announcements and the course calendar.
• Monitor student progress and notify the Faculty Lead when a student is unresponsive or at risk of failing.
• Meet weekly with the Faculty Lead during regularly scheduled calls throughout the course.
• Submit final grades to the Faculty Lead according to William & Mary and Mason School grading policies and the Online Programs calendar.
• Submit Section Lead end-of-semester reflection form and attend debriefing meetings as applicable.

Section Leads typically spend 15 to 20 hours per week on the duties listed above.

Required Qualifications

• Master's degree in business/data analytics, computer science, industrial engineering, information systems, information technology, operations management, operations research, or a closely related field.
• Significant expertise and relevant professional and/or instructional experience in business/data analytics, computer science, industrial engineering, information systems, information technology, operations management, operations research, or a closely related field.
• Experience providing instruction to adult learners in an academic or corporate setting.
• Demonstrated excellence in communicating and collaborating in digital environments.
• Demonstrated commitment to creating an inclusive and supportive learning environment for a diverse student population.
• Demonstrated commitment to upholding William & Mary's historic reputation for academic excellence and innovation.

Preferred Qualifications

• Doctoral degree directly related to the discipline.
• Demonstrated excellence teaching adult learners in a professional degree program.
• Experience providing online instruction.
• Enthusiasm for delivering education in an online mode.
• Proficiency using video conferencing technologies and web-based collaboration platforms.
• Experience using Canvas or a similar learning management system.