Manager of AI & Innovative Technologies Strategy

Job 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.

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; provide 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 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.
• Advance 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.
• 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).

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 and 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.

Other Related Duties (5%)

• Execute additional responsibilities as assigned to support departmental and institutional objectives.

• 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…