Job Details

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.

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.
• 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 infrastructure where appropriate, to address specific teaching and student-support needs.
• Track developments in learning technology and AI; pilot tools when opportunities arise.
• Perform other related duties as assigned.

Qualifications

• Master’s degree, or Bachelor’s with 5+ years of relevant experience; advanced study in education, instructional design, learning sciences, or educational technology preferred.
• Advanced experience with learning technology administration, including tier-3 LMS support, third-party tool integrations, SIS troubleshooting, and work with external hosting vendors.
• Excellent written and verbal communication, with the ability to translate between technical and non-technical audiences.
• Experience with faculty development, change management, or training in teaching and learning technologies in higher education.
• Working knowledge of student-centered pedagogy, learning design, and accessibility.
• Current understanding of generative AI’s capabilities, limitations, and role in education.
• Ability to guide faculty on when to use AI, when to design around it, and how to build students’ capacity to evaluate AI inputs and outputs.
• Ability to build custom AI tools and workflows within Union’s supported AI suite (Gemini, Gems, NotebookLM), with attention to FERPA, data privacy, and institutional data governance.
• Ability to lead strategic evaluation of additional AI platforms, whether commercial or open-source models hosted on Union infrastructure, weighing fit, risk, and trade-offs against institutional values and a human-centered commitment.
• Familiarity with audio, video, podcasting, or studio production workflows is helpful but not required.
• Experience hiring, training, and supervising student employees, or leading small teams to deliver on a service portfolio.
• Strong project management, documentation, prioritization, and collaborative problem-solving skills.