Edu/Trng Program Manager I

University of Florida•Gainesville, FL

17h

About The Position

Reporting to the Assistant Provost & Senior Director for Teaching and Technology, the AI Training & Workforce Development Manager leads the design and delivery of AI, machine learning, and data science training programs aligned with real-world workforce and industry needs. This role blends deep technical expertise with instructional leadership, collaborating with faculty and industry partners to deliver rigorous, hands-on learning experiences. Ideal candidates are excited to shape how professionals learn, apply, and evaluate AI-driven solutions in a rapidly evolving landscape.

Requirements

Bachelor’s degree in an appropriate area and six years of relevant experience or an equivalent combination of education and experience.

Nice To Haves

Master’s degree or higher in business administration, computer science/engineering, data science, artificial intelligence, engineering education, or a related field is required; terminal degree preferred.
A minimum of three years of relevant training or teaching experience is required.
Demonstrated expertise in AI/ML program design, curriculum development, and applied instructional delivery is strongly desirable.

Responsibilities

Design and develop conceptual and advanced AI training programs, integrating adult learning theory, instructional design best practices, and experiential learning approaches.
Collaborate with subject matter experts to create course modules covering AI/ML foundations, supervised and unsupervised learning, NLP, deep learning, LLMs, reinforcement learning, and ethical/industry adoption considerations.
Develop instructional materials, datasets, coding notebooks, and learning artifacts that reinforce applied practice.
Research, evaluate, and integrate emerging training technologies (e.g., AI-enabled platforms, coding environments, simulation tools) to enhance learner engagement and program quality.
Serve as lead instructor for AI/ML training modules, facilitating lectures, workshops, and applied coding sessions.
Guide participants through supervised and unsupervised learning exercises, NLP projects, deep learning models, and applied LLM case studies.
Deliver hands-on instruction using real-world datasets, ensuring participants achieve technical fluency and practical skills.
Support learners through direct coaching, mentoring, and feedback to reinforce mastery of program objectives.
Ensure alignment between curriculum design and training delivery for a consistent and high-quality learner experience.
Meet with stakeholders, employers, and industry leaders to assess workforce and educational needs in AI/ML and ensure training is responsive and relevant.
Evaluate training effectiveness and participant achievement of learning outcomes; implement refinements to maintain program rigor, scalability, and impact.
Maintain active knowledge of adult learning theory, instructional technology, and advances in AI education, ensuring the curriculum reflects cutting-edge developments.
Represent the program at professional organizations and conferences, positioning it as a leader in AI/ML workforce training.
Perform other duties as assigned.