Data Analytics, Department of Information Technology - Adjunct Faculty

University of Maryland Global Campus • San Diego, CA

7d • Onsite

About The Position

The Adjunct Faculty member teaches Data Analytics courses for the Department of Information Technology at the University of Maryland Global Campus. This position is specifically for on-site teaching in San Diego, California, and is limited to local applicants; UMGC does not provide logistical support. Adjunct faculty use UMGC’s standardized, pre-designed course materials and curriculum, allowing them to focus on mentoring students, facilitating learning, and providing feedback. Newly hired faculty receive an online orientation and ongoing professional development.

Faculty maintain a visible and active classroom presence, enrich the curriculum with professional expertise and real-world examples, and foster an inclusive, culturally responsive learning environment for adult learners. They respond to student inquiries, provide feedback, submit final grades within expected timeframes, monitor learner engagement, reach out proactively to at-risk students, and collaborate with student success coaches, academic staff, and portfolio directors. Faculty also participate in the UMGC faculty community, including the Program Hub and ongoing training.

Applicants must have a terminal degree in Data Science, Data Analytics, Artificial Intelligence, or a related field from an accredited institution, as well as 3–5 years of professional experience in Data Analytics, Data Science, or Artificial Intelligence. Applicants must have and be able to maintain their own legal status in the country where they apply to teach. Compensation is listed by academic rank and degree, ranging from $806 to $1,645 per credit hour across the stated steps and categories.

Requirements

• Terminal degree in Data Science, Data Analytics, Artificial Intelligence, or a related field from an accredited institution of higher learning.
• 3–5 years of professional experience in Data Analytics, Data Science, or Artificial Intelligence.
• Must have and be able to maintain legal status in the country where applying to teach.
• A student-centered approach rooted in empathy, flexibility, professional integrity, and cultural responsiveness.
• Must be a local applicant able to teach on-site in San Diego, California.

Nice To Haves

• Experience teaching adult learners in an online, asynchronous environment.
• Prior postsecondary teaching experience.
• Active engagement in the discipline’s professional community.

Responsibilities

• Maintain an active classroom presence at least five days per week, including posting a welcome announcement and driving discussions.
• Enrich the pre-built curriculum with professional expertise and real-world examples.
• Foster an inclusive, culturally responsive environment where adult learners feel supported and motivated.
• Stay engaged with learners by responding to inquiries, returning feedback, and posting final grades within the expected timeframe.
• Use available data tools to monitor student engagement and proactively contact at-risk students.
• Partner with success coaches, academic staff, and portfolio directors to refer struggling students to UMGC support resources.
• Participate in the UMGC faculty community, including the Program Hub and ongoing training.

Benefits

• Access to medical, vision, dental, and prescription health plans for individuals and families, effective the first of the month following the hire date; adjuncts are responsible for the full cost if enrolled and are not eligible for State of Maryland subsidized rates.
• Term life insurance and Accidental Death and Dismemberment insurance.
• Supplemental retirement plans, including 401(k), 403(b), 457(b), and Roth options; the university does not provide matching funds.
• Comprehensive online orientation for newly hired faculty.
• Ongoing, cost-free professional development opportunities.
• Standardized courses, rubrics, OER materials, library resources, and digital textbooks provided at no cost to faculty.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree