Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses-4

Job Requisition: JR100918 Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses-4 (Open) Job Posting Title: Adjunct Faculty (Section Lead) Pool - Online Business Analytics Courses-4 Department: CC00176 WM001 | PROV | OLP - Central Admin Job Family: Faculty - Adjunct Worker Sub-Type: Adjunct (non-benefited) Job Requisition Primary Location: Remote Work - Virginia Primary Job Posting Location: Remote Work - Virginia 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 programs: 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: Position duties include: 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: Please make sure your cover letter and resume clearly indicate how you meet the following 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: Please make sure your cover letter and resume clearly indicate whether you meet any of the 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. Conditions of Employment: For full consideration, please upload a Resume, Cover Letter, Teaching Statement, and Unofficial Transcripts reflecting a degree associated with the subject area being taught. The review of applications is ongoing, and only those selected for an interview will be contacted. Hired candidates are required to provide official transcripts prior to the contracted start date. This part-time position is restricted to the term in which it is assigned and hired, and is not eligible for benefits. This position is not eligible for work visa sponsorship. Additional Job Description: For full consideration, please upload a Resume, Cover Letter, Teaching Statement, and Unofficial Transcripts reflecting a degree associated with the subject area being taught. This position is n ot eligible for work visa sponsorship. Job Profile: JP0738 - Adjunct Professor NTE - Exempt - Salary - S99 Qualifications: Compensation Grade: S99 Recruiting Start Date: 2025-09-30 Review Date: 2025-10-01 Position Restrictions: Restricted Term EEO is the Law. Applicants can learn more about William & Mary’s status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https:// www.eeoc.gov/know-your-rights-workplace-discrimination-illegal Background Check: William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check. Remote Work Disclaimer: Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.