ITS Manager of AI & Innovative Technologies Strategy

LMU Information Technology Services enables technologically rich learning environments, provides effective teaching and scholarship resources, and maintains reliable, accessible, and integrated information systems. This work is grounded in and supports the University’s mission:

• The encouragement of learning
• The education of the whole person
• The service of faith and the promotion of justice


Position Summary

Reporting to the Director of Strategy, Architecture & Analytics (SAA), the ITS Manager of AI & Innovative Technologies Strategy leads LMU’s cross-functional enablement of responsible Artificial Intelligence (AI) and Generative AI (GenAI), as well as institutionally relevant innovative digital technologies, across teaching, learning, research, and administrative operations.

The role operationalizes LMU’s AI strategy while also exploring, evaluating, piloting, and scaling innovative technologies—such as intelligent automation, advanced analytics, adaptive learning platforms, and next-generation digital tools—that demonstrably enhance academic quality, student success, operational effectiveness, and institutional decision-making. The position balances innovation with stewardship, ensuring that new technologies align with LMU’s mission, values, governance standards, and risk tolerance.

The Manager serves as the operational lead and program manager for ITS AI initiatives and as the coordinator of high-impact technology innovation pilots, partnering closely with campus partners and ITS staff to responsibly transition innovations from experimentation to sustainable adoption.

This position advances LMU’s global impact and supports LMU’s strategic goals by: (1) enhancing student, faculty, and staff proficiency and engagement with innovative technologies including AI; (2) establishing a sustainable AI technology ecosystem and (3) promoting intentionality, responsibility, and security in the planning and implementation of innovative technologies. Success in this role is defined by demonstrated improvements in instructional adoption, student outcomes, and staff productivity enabled by innovative processes or tools.

Exhibit behavior that supports the mission, vision, and values of the university.  Communicate and employ interpersonal actions that model high standards of professional, responsible, accountable, and ethical conduct.  Demonstrate a commitment to outstanding customer service.

Required Qualifications:
•    Typically a bachelor’s degree in Information Systems, Computer Science, Learning Technologies, Data/Analytics, or a related field. A master’s degree is preferred. 
•    Five years of progressive experience leading the evaluation, planning, implementation, and adoption of innovative technology solutions and Artificial Intelligence , digital transformation, or academic technology initiatives, including program/project leadership across multiple stakeholders. 
•    Demonstrated experience with AI/ML or GenAI products (evaluation, pilot to production, integration, security, and adoption), and with governance/risk practices relevant to higher educations. 
•    Experience with leveraging innovative technology solutions in support of initiatives relating to analytics, digital transformation, improving learning outcomes, and student/customer experience.
•    Experience developing and delivering communications, presentations, and training to technical and non technical audiences.
•    Experience engaging with stakeholders and customers to develop business cases, use cases, and requirements to inform the technology selection process. 
•    Great interpersonal, communication, leadership , and relationship building skills with a commitment to high quality, timely, responsive, and innovative service delivery. 
•    Program and portfolio management, stakeholder engagement, and consensus building across academic and administrative units. 
•    Ability to translate between technical, pedagogical, and policy domains; excellent written and oral communication and facilitation skills.
•    Working knowledge of GenAI toolchains (e.g., LLMs, prompt engineering, retrieval augmentation), data management, and evaluation practices.
•    Working knowledge of major AI/LLM platforms (e.g., OpenAI, Anthropic, Google Gemini, Microsoft Copilot) and ability to evaluate their fit for academic and administrative use cases. 

$115,100.00 - $155,400.00 Salary commensurate with education and experience.

#HERC# #HEJ#

Staff Regular

Salary range

$118,000.00 - $159,300.00 Salary commensurate with education and experience.

Please note that this position may not be eligible for visa sponsorship now or in the future.

Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

LMU is committed to providing equal access to employment opportunities and ensuring a comprehensive recruitment and selection process for all applicants.

 

Individuals who require a reasonable accommodation to participate in any stage of the application, interview, or selection process may contact Human Resources at hr@lmu.edu or by phone at (310) 338-2723. Applicants who use relay services or other assistive communication technologies are welcome to utilize those services when contacting Human Resources.

 

When contacting Human Resources, please include the job posting number, title of the position and department for which you are applying. Applicants are not required to disclose the nature of a disability or provide medical information when requesting an accommodation during the recruitment process.

 

LMU will work with applicants in a timely and interactive process to identify and provide reasonable accommodations consistent with applicable federal and state law.