Enablement Specialist; Remote
Atlanta, Fulton County, Georgia, 30301, USA
Listed on 2026-07-02
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software), Change Management, AI Evaluation
Experience Design Strategist
As an Experience Design Strategist embedded in People & Communities (P&C) change initiatives, you design how people build the knowledge, skills, and confidence needed to adopt new ways of working. You recognize that learning is not a discrete event in a change journey — it is woven through every phase, from early awareness to sustained behavior change.
In this role, you specifically leverage AI-enabled learning technologies to personalize the learning journey directly in the flow of work. By analyzing complex workflows you will identify opportunities for AI augmentation and enablement interventions that appear right when the user needs them, ensuring that employees are not only prepared for change but are empowered to interact effectively with AI tools to enhance their performance.
ExperienceDesign for Change
- Design experience frameworks and journeys that are sequenced to the phases and emotional arc of a change initiative, integrating AI-driven adaptive learning paths that adjust to individual users needs.
- Develop audience-segmented strategies that account for varying roles, prior knowledge, and readiness levels, utilizing AI tools to deliver just-in-time content.
- Translate change management goals into AI-augmented learning/enablement interventions that address knowledge and skill gaps, including simulations and interactive AI coaching modules.
- Design for the full learning ecosystem, ensuring AI-enabled performance support is available within the flow of work to reinforce training.
- Prioritize Performance in the Flow of Work:
Shift away from traditional classroom or eLearning-centric models by embedding performance support, AI-augmented guidance, and actionable insights directly into the tools and platforms employees use daily. - Facilitate Social Ecosystems:
Design and curate social-based environments—such as peer-to-peer coaching networks, communities of practice, and collaborative sense-making forums—to reinforce desired mindsets and behaviors through shared experience. - Drive Organizational Readiness:
Develop strategies that treat readiness as a dynamic state, utilizing data to identify friction points and deploying targeted interventions that support employees exactly where and when they need it.
- Analyze workflows to identify where AI augmentation can reduce friction; design interventions that teach employees how to effectively prompt, interact with, and collaborate alongside AI tools.
- Apply knowledge application principles to ensure that AI-augmented tools are perceived as performance enhancers rather than technical hurdles.
- Work with managers to design their role in reinforcing AI-human collaboration, modeling desired behaviors for using AI in daily decision-making.
- Build multi-level evaluation frameworks that measure the impact of AI-augmented learning interventions on behavior change and organizational productivity.
- Use AI-powered analytics to identify leading indicators of adoption, such as engagement with AI tools, confidence shifts, and real-time performance improvements.
- Create feedback loops that allow learning design to be adjusted during rollout based on real-time data from AI-enabled platforms.
- Partner with subject matter experts to identify where AI can solve specific adoption barriers.
- Facilitate co-design sessions to ensure that AI-augmented workflows are grounded in actual user needs and constraints.
- Communicate the strategic value of AI-enabled learning to senior leadership, articulating how these technologies accelerate adoption and business impact.
- 4–7 years of experience in learning design, instructional strategy, or change enablement, with a strong focus on digital transformation.
- Proven experience designing interventions that incorporate AI-enabled tools, chatbots, or adaptive learning platforms.
- Experience analyzing workflows to identify and implement AI augmentation opportunities.
- Proven experience designing learning sequences and learning ecosystems, with the ability to integrate AI tools into scalable…
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