Learning & Capability Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Learning & Capability Lead (AI): Designing and executing the global learning strategy and capability frameworks to transition the organization toward an AI-enabled operating model with an accent on role architecture and human-AI collaboration. Focus on building the infrastructure for continuous learning, implementing the SANA LMS, and leading the organization-wide AI adoption program.
Location: Belgrade, RS
Company
is a consultative, AI-enabled transformation partner reimagining business operations and career paths through deep AI integration.
What you will do
- Build and run the global learning and capability practice from the ground up, defining strategy and infrastructure.
- Define future role architectures and create detailed briefing packs for evolving and newly emerging roles.
- Design and deliver a flagship, organization-wide AI adoption learning program.
- Lead the end-to-end implementation, configuration, and optimization of the SANA LMS.
- Redesign capability frameworks and career pathways to reflect the shift toward AI-augmented advisory roles.
- Champion cultural change by addressing AI-related anxiety and empowering employees across all levels.
Requirements
- 7+ years in L&D, enablement, or organizational capability development, owning both strategy and delivery.
- Experience designing capability frameworks, role architectures, or career pathways.
- Hands-on LMS ownership, including implementation, governance, and analytics.
- Genuine enthusiasm for AI and active use of AI tools in daily professional work.
- Strong writing and synthesis skills to translate complex change into clear narratives.
- Ability to balance strategic roadmap ownership with tactical execution of learning modules.
Nice to have
- Background in software, SaaS, or technology businesses.
- Direct experience with the SANA LMS platform.
- Change management or organizational development background.
- Experience working within global or matrixed organizations.
- Familiarity with agentic AI concepts and human-AI collaboration models.
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