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.

Position Specific Responsibilities/Accountabilities

Service Delivery and Governance enablement - 25%
•    Regularly engage with campus partners and ITS staff to develop appropriate use cases for the use of innovative technologies.  

•    Maintain a unified AI and Innovative Technologies roadmap and portfolio. Including cost management, use case backlog, stage gate intake of PBC/POC, pilot and production AI products. 
•    Stand up and maintain LMU’s AI solution standards (reference architectures, data protection, model/feature baselines, prompt and output handling, accessibility), in partnership with Enterprise Architecture and Information Security.
•    Operationalize recognized frameworks for higher ed appropriate governance, risk management, and continuous improvement.
•    Evaluate AI vendor capabilities, integration models, and roadmap alignment; providing guidance on platform selection, risk posture, and institution‑wide applicability.
•    Lead day to day operations of the ITS AI Working Group (AIWG).

Program Management of Pilots and Scaled Deployments - 25%
•    Lead cross functional teams to evaluate, pilot, and scale AI tools and other innovative technologies in teaching, student success, and administrative workflows with clear outcomes, KPIs, and adoption plans. 
•    Apply product‑lifecycle thinking (discovery-pilot-evaluation-scale) to AI and other innovative technologies tools and experiences to ensure timely, sustainable, high‑impact adoption across LMU.
•    Coordinate vendor assessments, security/privacy reviews (FERPA/PII handling), accessibility, and data governance approvals; prepare RFI/RFP inputs and options analyses. 
•    Manage dependencies across Applications, Data Services, Security, and Infrastructure to land projects reliably.

Capacity Building, Training & Change Management - 15%
•    Develop faculty, staff, and student enablement pathways promoting AI literacy and innovation fluency.
•    Advancement of student and staff enablement pathways emphasizing responsible, equitable AI use aligned to pedagogy and practice in collaboration with the CFD and the Library.
•    Publish practical playbooks (acceptable use, citation/disclosure, assignment design, prompt patterns, verification practices) and deliver workshops, clinics, and office hours. 
•    Communicate progress and exemplars; radiate information about GenAI advances and limitations to campus stakeholders. 

Data & Analytics Enablement for Intelligent Technologies - 15%
•    Ensure institutional data is AI- and innovation-ready.
•    Partner with Information Security & Compliance to ensure secure, privacy preserving AI implementations (e.g., safe handling of prompts/outputs, access controls, logging, model use policies). 
•    Establish measures to monitor bias, misuse, academic integrity concerns, and accessibility issues; coordinate remediation and continuous improvement with product owners. 
•    Collaborate with Data Services to ensure institutional data is structured, governed, and metadata‑rich in ways that safely support AI‑powered experiences (search, advising, learning analytics), while maintaining strict privacy and compliance controls.

Community, Partnerships & External Alignment - 15%
•    Monitor higher education and innovative technology trends.
•    Cultivate industry and peer institution partnerships to stay current on AI capabilities and practices, as well as the emergence of innovative technology; represent LMU in relevant consortia. 
•    Monitor AI strategies to help position LMU as a leader in ethical, effective AI adoption across teaching, learning, and operations.
•    Coordinate AI strategy across LMS, SIS, CRM, library systems, data warehouse, and other key platforms to ensure aligned, ethical, and sustainable AI adoption.

Perform Other Related Duties - 5%: Execute additional responsibilities as assigned to support departmental and institutional objectives.
 

Loyola Marymount University Expectations

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. 

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of this position.
 

Hiring Salary Range

$115,100.00 - $125,000.00 Salary commensurate with education and experience.

Salary Range

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

#HERC# #HEJ#

Staff Regular

Salary range

$115,100.00 - $155,400.00 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 [email protected] 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.