Senior Learning Designer, Artificial Intelligence and Emerging Learning Technologies

Overview

Quinnipiac University invites applications for a Senior Learning Designer, Artificial Intelligence and Emerging Learning Technologies to join our Quinnipiac Innovations in Learning and Teaching (QILT) team.

QILT partners with faculty, academic programs, and colleagues across the University to create dynamic, inclusive, and student-centered learning experiences that advance academic excellence and Quinnipiac's strategic goals. In this role, you'll bring together learning science, creativity, technology, and curiosity to help faculty imagine—and build—the next generation of learning.

As a Senior Learning Designer, you'll be a strategic partner and thought leader, working alongside faculty and academic teams to design high-quality learning experiences across online, hybrid, and face-to-face environments.

With a specialty in artificial intelligence and emerging learning technologies, you'll help the Quinnipiac community navigate what's possible, what's practical, and what's pedagogically meaningful.

About Quinnipiac

Quinnipiac University is a private, coeducational institution located 90 minutes north of New York City and two hours from Boston. The university currently has an enrollment of 9,700 students in more than 100-degree programs through its Schools of Business, Communications, Computing & Engineering, Education, Health Sciences, Law, Medicine, Nursing and the College of Arts & Sciences. Our 22 Division I teams have achieved remarkable success, boasting national and conference titles - including a 2023 NCAA national championship win in men's ice hockey, a trip to the Sweet 16 for our women's basketball team and NCAA Tournament appearances by many of our programs. The Quinnipiac University Poll is nationally recognized as a leader in public opinion research, and the university is consistently recognized by U.S. News & World Report and Princeton Review. The Wall Street Journal ranked Quinnipiac #51 among the best colleges in the nation, and second in Connecticut, for our exceptional graduation rate, salary impact, learning facilities, career preparation and learning opportunities.

The university is in the midst of program expansion and renewal for both traditional and adult learners, the development of innovative strategic partnerships, and recently opened South Quad with three state-of-the-art buildings.

As Quinnipiac grows, the university remains guided by the core values that define our community and shapes the experience of every student and employee.

• We are fiercely committed to ensuring every Bobcat thrives. We are a lifelong partner for every learner.
• We passionately care about our community. Everyone should feel welcome and valued.
• We boldly shape our university's future. We will forge a path of impact together.

These values are the foundation of who we are and reflect the Quinnipiac spirit found across our campuses. For more information, please visit qu.edu. Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X.

Responsibilities

Learning Design and Instructional Development (25%)

• Design, develop, and review high-quality online, hybrid, and face-to-face courses in collaboration with faculty, academic programs, subject-matter experts, and QILT colleagues.
• Align learning outcomes, assessments, activities, instructional materials, and educational technologies using evidence-based practices such as backward design, Universal Design for Learning (UDL), and learner-centered design.
• Support program-level design and review by connecting course decisions with program goals, curricular coherence, accreditation requirements, and student learning outcomes.
• Where appropriate, serve as the learning design lead for complex or high-priority course and program initiatives.
• Establish and apply quality standards for accessibility, inclusion, engagement, usability, and academic integrity across instructional modalities, drawing on recognized frameworks such as Quality Matters where appropriate.
• Support adoption and adaptation of the Canvas base course template, consult on program-specific modifications, and advise on Canvas tools and approved integrations to improve teaching effectiveness, usability, and student learning.

Artificial Intelligence and Emerging Learning Technologies (25%)

• Consult with faculty and academic programs on the appropriate, responsible, and pedagogically grounded use of enterprise AI tools in teaching, learning, and research.
• Design and evaluate AI-enabled and technology-enhanced learning experiences, including simulations, conversational tools, adaptive experiences, interactive learning resources, and multimodal content.
• Explore, pilot, and evaluate emerging AI capabilities and learning technologies in relation to defined learning, teaching, or research needs.
• Conduct iterative testing with faculty improve usability, accessibility, and learning effectiveness.
• Manage a portfolio of course, program, service-area, and innovation projects, providing consultation and project leadership across the project lifecycle.
• Scope complex instructional design and technology projects; establish outcomes, deliverables, timelines, roles, dependencies, and communication plans.
• Coordinate cross-functional project work and maintain clear documentation, decision records, technical resources, and implementation guidance.
• Contribute to intake, prioritization, resource planning, and service design to support sustainable and equitable access to QILT services.
• Define success criteria, gather stakeholder feedback and outcome evidence, and recommend whether pilots and solutions should be scaled, revised, sustained, or retired.
• Conduct project retrospectives, document lessons learned, and contribute to continuous improvement of QILT processes and services. Apply accessibility, privacy, security, academic integrity, transparency, prompt literacy, copyright, bias and fairness, and responsible AI principles throughout design and implementation.

Faculty Consultation and Development (20%)

• Consult with faculty and academic programs to identify instructional needs and select appropriate evidence-based strategies, technologies, and support models.
• Guide the design of authentic assignments, assessments, simulations, and learning activities that appropriately use, constrain, or exclude AI and other technologies in alignment with course and program outcomes.
• Support faculty in addressing academic integrity, transparency, accessibility, bias, privacy, and equitable participation in technology-enhanced learning environments.
• Design and facilitate workshops, learning communities, consultations, and faculty-development programs on learning design, digital pedagogy, AI literacy, and emerging learning technologies.
• Develop program-specific faculty-development strategies, professional learning pathways, and reusable guides, examples, tutorials, and toolkits that build AI literacy across varied levels of faculty experience.
• Assist faculty in developing clear course-specific AI expectations, assignment guidance, and syllabus language.
• Support faculty and researchers in evaluating appropriate uses of AI for inquiry, analysis, communication, and discipline-specific practice within relevant institutional requirements.

Project and Portfolio Management (20%)

• Manage a portfolio of course, program, service-area, and innovation projects, providing consultation and project leadership across the project lifecycle.
• Scope complex instructional design and technology projects; establish outcomes, deliverables, timelines, roles, dependencies, and communication plans.
• Coordinate cross-functional project work and maintain clear documentation, decision records, technical resources, and implementation guidance.
• Contribute to intake, prioritization, resource planning, and service design to support sustainable and equitable access to QILT services.
• Define success criteria, gather stakeholder feedback and outcome evidence, and recommend whether pilots and solutions should be scaled, revised, sustained, or retired.
• Conduct project retrospectives, document lessons learned, and contribute to continuous improvement of QILT processes and services.

Leadership, Collaboration, and Mentorship (10%)

• Mentor Learning Designers and other QILT colleagues on AI through consultation, collaborative design, technical guidance, and peer review.
• Partner with ITS, university libraries, academic integrity leaders, accessibility partners, academic units, and other stakeholders on learning design, AI, and emerging technology initiatives.
• Where appropriate, represent QILT in relevant working groups, committees, professional networks, and university initiatives.
• Monitor developments in learning science, digital pedagogy, AI, and educational technology and share relevant findings with QILT and university partners.
• Develop evidence-based recommendations, effective practices, and implementation guidance for AI and emerging learning technology initiatives.
• Contribute to QILT service improvement, team learning, and other teaching-and-learning initiatives as assigned.

Education Requirements

• Bachelor's degree
• Master’s degree in instructional design, educational technology, higher education, learning sciences, computer science, information technology, or a related field is required

Qualifications

• Five (5) years of progressively responsible experience in learning design, instructional design, educational technology, or a related field, including demonstrated experience with artificial intelligence and emerging learning technologies.
• Advanced knowledge of learning science and instructional design methodologies, including adult learning theory, backward design, Universal Design for Learning (UDL), authentic assessment, and learner-centered design.
• Demonstrated experience leading course and program design across online, hybrid, and face-to-face modalities and aligning instructional decisions with learning outcomes, program goals, and applicable accreditation requirements.
• Advanced proficiency with a learning management system, preferably Canvas, including course architecture, templates, modules, rubrics, outcomes, analytics, and tool integrations.
• Applied knowledge of inclusive teaching, digital accessibility, and the development of accessible multimodal content in accordance with WCAG and other applicable standards.
• Experience consulting with faculty and subject-matter experts and leading faculty-development programs, workshops, or communities of practice.
• Strong project and portfolio management skills, including project scoping, planning, prioritization, stakeholder communication, risk management, documentation, and delivery.
• Experience with AI platforms such as ChatGPT Edu, Microsoft Copilot, Canvas IgniteAI, and Adobe AI tools.
• Advanced knowledge of generative AI capabilities, limitations, and applications in teaching, learning, and research.
• Ability to assess emerging learning technologies and connect their capabilities to defined pedagogical needs and measurable outcomes.
• Technical fluency sufficient to use, configure, evaluate, test, document, and troubleshoot AI-enabled or technology-enhanced learning solutions within approved platforms.
• Knowledge of prompt design, AI system behavior, evaluation methods, bias, privacy, security, transparency, and responsible AI practices.
• Knowledge of educational data privacy, FERPA, intellectual property, accessibility, and academic integrity requirements related to instructional technologies.
• Excellent written, verbal, presentation, and facilitation skills, including the ability to translate complex pedagogical and technical concepts into clear, practical guidance for diverse audiences.
• Demonstrated experience mentoring colleagues, graduate assistants, or student employees in project-based settings.
• Strong collaboration, relationship-building, facilitation, and influence skills across disciplines and organizational units.
• Commitment to inclusive excellence, accessibility, academic integrity, and equitable technology implementation.

Preferred Knowledge and Skills

• Experience in higher education, a teaching and learning center, academic technology, or faculty development.
• Quality Matters certification or comparable demonstrated experience applying a recognized course-quality framework.
• Working knowledge of HTML and CSS and their application to learning design and content optimization.
• Experience designing simulations, immersive or extended-reality experiences, adaptive learning, interactive learning experiences, games, learning analytics applications, or media-rich instructional resources using tools such as Articulate Rise, H5P, or comparable platforms.
• Familiarity with user experience or learning experience design principles and their application to digital learning environments.
• Experience launching and evaluating pilots or innovation initiatives and supporting organizational change.
• Experience with AI or other emerging technologies in research, data analysis, or discipline-specific professional practice.

Special Instructions to Applicants

TO APPLY:

Applications must be submitted electronically and include a resume, a cover letter detailing how your experience aligns with the position requirements, demonstrated commitment to intentional leadership that values individuals of all backgrounds and experiences, and contact information for three references.

We offer a comprehensive benefits package for full-time faculty and staff which includes tuition remission and a culture that is inclusive and driven by excellence.

Quinnipiac University is an equal opportunity employer and encourages applications from individuals of all backgrounds and experiences. We are committed to fostering an inclusive and respectful community.

Note to Faculty/Staff Applicants Only: If a final candidate is a current or previous Quinnipiac employee, the hiring manager must obtain a reference check from the candidate’s current or former manager before making an offer of employment. If the candidate's current or most-recent Quinnipiac supervisor is unavailable, the hiring manager should contact Talent Acquisition for assistance in determining the appropriate alternate contact:

Advertised: September 11, 2026 Eastern Daylight Time
Applications close: Open until filled