Job Description:

The Academic Technologist serves as a liaison between Information Technology and the academic mission of Trinity University. Grounded in a service-first philosophy, this role partners with faculty to integrate digital tools into the curriculum, supporting technological innovation in a small-class, liberal arts environment, while intentionally cultivating strong faculty relationships through a Business Relationship Management (BRM) approach. The successful candidate will balance technical knowledge with a consultative, relational approach, advancing teaching, learning, and digital scholarship across the liberal arts.

JOB DUTIES

LMS Management & Strategic Integration

• Provide advanced support for the Canvas Learning Management System, including best practices, backend support, and integration of third-party tools.
• Use LMS data and analytics to help faculty understand patterns of engagement and identify opportunities for inclusive, proactive teaching interventions. Use Canvas analytics tools to assist with data-informed decision-making.
• Collaborate on testing, rollouts, and communication related to LMS updates and new features.

Academic Technology Support & Classroom Innovation

• Partner with campus stakeholders to co-develop educational resources and training in support of tools like Echo360, Poll Everywhere, LinkedIn Learning, Zoom, generative AI, Adobe Creative Cloud, or similar.
• Offer "just in time" support for classroom and instructional technologies--helping faculty troubleshoot issues quickly to protect instructional time.
• Design and facilitate faculty workshops and Faculty Learning Communities (FLCs) on topics such as generative AI and open educational resources.
• Cultivate long-term faculty partnerships through a Business Relationship Management (BRM) framework, ensuring IT services are deeply aligned with evolving pedagogical needs and academic goals.

Digital Scholarship Support

• Advise and support faculty on digital scholarship projects.
• Consult with faculty to align technology choices with course- and program-level learning goals, moving beyond "basic tool training" to pedagogical improvement.
• Lead the lifecycle of digital projects--from meeting with faculty stakeholders to identify goals and priorities, implementing project work, documenting new processes and tool usages using platforms and tools such as Omeka, Scalar, WordPress, GIS, or similar.

AI Strategy, Implementation, and Faculty Capacity Building

• Support the institutional integration of artificial intelligence, recommending generative AI and machine learning tools that enhance research, teaching, and scholarly communication across diverse disciplines.
• Serve as a content expert and advisor on AI use cases.

ADDITIONAL DUTIES

• Cooperates and collaborates with other employees in the spirit of teamwork and collegiality and interacts with confidence, patience and integrity to provide professional leadership during emergencies.
• Complies with all Trinity University policies and guidelines.
• Performs other duties as required.

EDUCATION

Required:
Master's degree from an accredited institution.

Preferred:
Preferably in Instructional Design, Educational Technology, Information Science, or a closely related field; or an equivalent combination of education and relevant experience.

EXPERIENCE

Required:

• 3+ years of professional experience in educational or academic technology, instructional design, or digital scholarship,
• Demonstrated success partnering with faculty or instructors on course design, digital projects, or technology integration.

Preferred:
Professional experience in a higher education context.

KNOWLEDGE, SKILLS, AND ABILITIES

Required:

Technical Proficiency:

• Advanced experience with at least one major LMS (e.g., Canvas, Moodle, Blackboard), including course design and integration of external tools (LTI).
• Proficiency with web-based platforms and basic web concepts (e.g., WordPress, Omeka, HTML/CSS fundamentals).
• Experience with computational hardware and software (e.g., HPC, Linux).
• Demonstrated expertise with generative AI tools.

Consultative & Relational Skills:

• Proven ability to build rapport and maintain trust with faculty across diverse disciplines.
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences and to listen carefully to faculty goals and constraints.

Preferred:

• Background or substantial experience working within one or more academic disciplines (e.g., humanities, social sciences, arts, or STEM fields).
• Familiarity with the ethical, legal, and pedagogical implications of emerging technologies (e.g., generative AI, data privacy, copyright and open licensing).

LICENSES/CERTIFICATIONS

None

SUPERVISORY RESPONSIBILITIES

None

DECISION MAKING

Limited Autonomy within established ITS policies and procedures.

BUDGET RESPONSIBILITY

None

FINANCIAL RESPONSIBILITY

None