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AI Innovation Manager

Job in Riverside, Riverside County, California, 92504, USA
Listing for: Dr. Robert K. Jabs School of Business
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Summary

AI Innovation Manager – This role is strategic yet hands‑on, combining innovative leadership with practical implementation. The AI Innovation Manager will manage AI processes and lead the identification, development, and deployment of artificial intelligence (AI) initiatives across academic and administrative units. This role partners with faculty and staff to drive responsible, high‑impact AI adoption aligned with institutional policies.

Essential Duties and Responsibilities
  • Develop and execute a university‑wide AI innovation strategy and roadmap; aligned with institutional goals for research excellence, student success, and operational efficiency.
  • Identify, evaluate, and pilot emerging AI tools and technologies (e.g., generative AI for curriculum design, research automation, administrative workflows, student advising, and personalized learning).
  • Collaborate with faculty, researchers, IT teams, and department leaders to integrate AI into academic programs, research projects, and campus operations.
  • Manage AI pilots and proof‑of‑concept projects, including budgeting, timelines, risk assessment, and success metrics.
  • Promote responsible and ethical AI use, including governance, bias mitigation, data privacy (FERPA, GDPR), and compliance with university policies and California regulations.
  • Design and deliver training programs, workshops, and resources to build AI literacy among faculty, staff, and students.
  • Track AI trends, emerging technologies, best practices in higher education, and provide strategic recommendations.
  • Identify and prioritize AI use cases across the campus while collaborating with other ITS staff to implement scalable AI solutions.
  • Partner with faculty and staff to support AI‑enabled teaching, research, and operational needs to improve efficiency and user experience.
  • Work with others to establish AI governance, ethics, and compliance frameworks to promote AI literacy across campus through workshops and training.
  • Assist with AI technology standards, processes and evaluate and manage AI vendors, tools, and processes.
  • Participate in planning activities with other areas of ITS and lead AI development of agents/bots across campus.
  • Maintain thorough documentation of systems for all applications and processes while staying up‑to‑date with the latest technologies and trends to improve access to information and services.
Supervisory Responsibilities

Directly supervise employees and student workers. Carry out supervisory responsibilities in accordance with the organization’s policies and applicable laws. Interview and train employees; plan, assign, and direct work; appraise performance; reward and discipline employees; address complaints and resolve issues.

Other Knowledge, Skills, and Abilities
  • Demonstrated ability and willingness to live and uphold the University’s Christ‑centered mission and values.
  • Experience in AI/ML project management, agent/bot creation, innovation management, or technology strategy roles (higher education, research, or tech industry experience strongly preferred).
  • Deep knowledge of AI technologies, including generative AI, machine learning, large language models, and responsible AI practices.
  • Proven success leading cross‑functional projects and driving technology adoption.
  • Strong understanding of higher education environments, including research, teaching, and academic governance.
  • Excellent project management, communication, and stakeholder engagement skills.
  • Familiarity with data privacy laws (FERPA, etc.) and ethical AI frameworks.
  • Experience in higher education and related ERP/SIS systems such as Banner, Salesforce and Canvas.
  • Familiarity with generative AI, LLMs, and academic technology ecosystems.
  • Experience developing training programs or faculty development initiatives.
  • Knowledge of data privacy regulations.
  • Ability to simultaneously coordinate and complete multiple projects.
  • Maintain a long‑term, big picture view; foresee obstacles, risks and opportunities.
  • Ability to supervise and train employees.
  • Strong interpersonal and teamwork skills and the ability to work effectively with diverse faculty, staff and student body.
  • Ability to perform thorough research to propose…
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