JOB SPECIFIC DUTIES:
Design & Development
- Support the design, development, and continuous improvement of enterprise AI and technical upskilling programs, including foundational AI literacy, responsible AI use, role-based technical learning, and applied learning experiences.
- Design and draft instructionally sound storyboards that translate complex AI and technical topics into eLearning, instructor-led, virtual, and blended learning formats.
- Develop and maintain learning pathways, job aids, facilitator guides, learner communications, discussion guides, practice activities, and reinforcement resources.
- Create practical learning scenarios that help employees recognize appropriate AI use cases, evaluate risks, improve prompts, validate outputs, and decide where human judgment is required.
- Apply adult learning principles, accessibility practices, and plain-language standards to make learning approachable, usable, and inclusive.
AI & Learning Technology
- Translate AI, automation, data, and technical concepts into clear, practical learning content employees can apply in real work scenarios.
- Contribute to responsible AI learning by ensuring content reinforces approved tools, data handling expectations, human oversight, privacy considerations, and organizational guidance.
Stakeholder Partnership & Change
- Partner with subject matter experts, business stakeholders, HR partners, change leads, and technology teams to identify skill needs, define learning objectives, and shape learning experiences that align to business priorities.
- Support external technical certification pathways and vendor-delivered learning offerings by helping assess fit, coordinate implementation, and monitor learner progress.
- Coordinate program logistics, content updates, facilitator preparation, vendor collaboration, communications, learner support, and delivery readiness across virtual, in-person, and blended formats.
- Maintain AI and technical learning materials as tools, models, policies, and workforce needs evolve.
Measurement & Continuous Improvement
- Support skills gap analysis and needs assessment work by gathering stakeholder input, reviewing learning data, and translating findings into recommended learning priorities.
- Use LMS data, survey feedback, assessments, and other learning analytics to evaluate participation, learner experience, behavior change, and program improvement opportunities.
- Recommend process improvements that make AI and technical upskilling programs more scalable, measurable, and easier for employees and leaders to adopt.
- Adhere to established safety standards and perform other duties as assigned.
