Senior Learning Technologist and AI Analyst

The Senior Learning Technologist and AI Analyst leads Union College’s academic technology environment and the College’s work on AI in teaching and learning. The role is the technical lead for the learning management system (LMS) (i.e., Moodle) and the wider portfolio of teaching and learning technologies, which includes a small Production Studio for faculty and student digital audio/visual content creation. It provides advanced support, manages third-party tool LMS integrations, coordinates with Information Technology Services (ITS) and external vendors, and keeps the systems faculty and students depend upon running smoothly. Built on that technical foundation, this position owns the College’s AI-in-teaching portfolio, bringing current knowledge of AI’s capabilities and limitations to faculty development, assessment guidance, policy, and course-level integration in service of student learning, academic integrity, and thoughtful innovation. This job is perfect for someone who is curious, self-directed, and proactive: a person who stays current in the field, brings forward ideas for faculty development, and helps carry promising ideas from concept to implementation. Through trusted, reliable support and close working relationships with faculty, they identify teaching and learning challenges, recognize opportunities for instructional innovation, and help move that work forward.

Senior Learning Technologist and AI Analyst

Pay Status and Classification: Exempt, Regular Full-time

Supervisor: Director Of Learning Design & Digital Innovation

Essential Responsibilities and Duties:

Academic Technology Leadership

• Serve as the senior technical lead for Moodle, troubleshooting complex issues across enrollments, gradebooks, quizzes, rubrics, permissions, course setup, and academic workflows.

• Coordinate with the Moodle hosting vendor, ITS, the Registrar, and other partners on upgrades, data feeds, provisioning, integrations, and cross-system troubleshooting.

• Administer third-party teaching and learning tools and LTI integrations with Moodle vendor, including (but not limited to) Perusall, Gradescope, Panopto, Namecoach, Brickfield Accessibility Toolkit, and Zoom.

• Provide the escalation point for learning technology issues that exceed first- and second-tier support.

• Lead proactive stewardship across the learning technology portfolio through documentation, workflow refinement, risk identification, testing, and knowledge base development.

• Oversee the small Production Studio as one of the College’s learning technologies, managing scheduling, software, workflows, and day-to-day readiness so faculty and students can use the space for podcasts, video, and other course-based or co-curricular recordings. Partner with ITS Learning Environments (LE), who maintains and replaces the studio’s A/V hardware, on repairs and equipment planning.

• Hire, train, and supervise approximately five Digital Innovation Student Liaisons (DISLs) who staff the Production Studio and support its faculty and student users.

• Partner with faculty on course and program work involving the LMS, integrated tools, and the Production Studio.

• Build user-friendly documentation and guides that make learning technologies, including the Production Studio, accessible without requiring a one-on-one partnership with LDDI.

AI in Teaching and Learning

• Design and facilitate faculty development on learning technologies and generative AI, including workshops and consultations on where AI is reliable, where human oversight is essential, how AI literacy differs across disciplines, and how to design assessments that build students’ capacity to make sound judgements about responsible AI usage.

• Lead institutional guidance and policy on AI in teaching and learning (assessment integrity, acceptable use, student AI literacy, responsible integration), in partnership with Academic Affairs, ITS, and faculty governance.

• Evaluate AI tools and use cases for fit in specific academic contexts, distinguishing where AI adds value from where it introduces risk, and translate institutional priorities into faculty-facing pathways.

• Collaborate on scoped AI initiatives in high-impact courses, grounded in clear teaching needs and aligned with institutional values, and assessed by their effect on student learning and equity.

• Build custom, FERPA-compliant AI tools and workflows, including on institutionally controlled infrastruc