Corporate AI Facilitator
Houlihan Lokey · Minneapolis, MN · 1 wk ago
Human Resources$120k–$162k/yrFull-time
Key Responsibilities
- Develop comprehensive AI-focused learning programs, including foundational AI literacy, use-case-specific workflows, and advanced tool training.
- Create learning assets such as e-learning modules, videos, job aids, sandbox exercises, simulations, and facilitator guides.
- Tailor training to role types (e.g., banking, operations, HR, finance) to maximize relevance and adoption.
- Deliver live in-person and virtual training sessions to global audiences.
- Lead hands-on workshops demonstrating real business scenarios using AI tools.
- Partner with business unit leaders to run use-case discovery sessions and help teams integrate AI into their workflows.
- Act as an internal consultant to departments on AI adoption, helping teams understand when and how to apply AI effectively.
- Collaborate with IT, Risk, Legal, and Data teams to ensure training aligns with governance, responsible AI guidelines, and security policies.
- Gather feedback from learners and leaders to refine training programs and identify emerging needs.
Measurement & Continuous Improvement
- Define success metrics for AI learning initiatives (usage, proficiency, productivity impact).
- Track training outcomes and analyze adoption data to drive program improvements.
- Stay current on AI trends, tools, and best practices to keep training content up to date.
Required Qualifications
- 3–7 years of experience (or equivalent) in Learning & Development, training, instructional design, or technical enablement.
- Strong understanding of AI concepts (LLMs, machine learning basics, automation, prompt engineering).
- Demonstrated ability to teach technical or digital tools to non-technical audiences.
- Experience designing blended learning experiences (ILT, VILT, e-learning, microlearning).
- Excellent communication, facilitation, and storytelling skills.
Preferred Qualifications
- Experience with Gemini or Claude.
- Experience working in a global, matrixed organization.
- Familiarity with responsible AI principles and data governance.