Learning & Development Specialist

AFSExton, PA
Hybrid

About The Position

The Learning & Development (L&D) Specialist designs, builds, and maintains scalable training content and learning experiences using AI-enabled tools, making high-quality, personalized learning available to employees and managers faster and more cost-effectively than traditional development methods allow. This role replaces a director-level L&D function with a leaner, execution-focused position that emphasizes hands-on content development, tool adoption, and measurable skill-building outcomes over strategic program ownership. It directly supports AFS's broader efficiency and AI-adoption goals by modeling how AI can be used responsibly to improve internal operations. This role owns the end-to-end development, maintenance, and personalization of AFS training content and materials, including selection and day-to-day use of AI-enabled authoring and delivery tools within approved budget and vendor guidelines. The Specialist has decision-making authority over instructional design choices, content formats, and tool usage, and escalates decisions involving new vendor contracts, enterprise-wide learning strategy, or budget outside approved limits to their manager. This role partners closely with subject matter experts across business units, HR/Talent partners, IT and Information Security (to vet AI tools and ensure no Restricted or Confidential data — including client production data, NPI, or source code — is submitted to third-party AI systems without approval), and Compliance to ensure training content and delivery align with FFIEC, SOC 2, and AFS data classification requirements.

Requirements

  • Prior hands-on experience building content with AI authoring or generative tools matters more than years spent managing an L&D function.
  • Experience designing and delivering training content in a corporate L&D or instructional design function, with a clear orientation toward hands-on execution over program strategy.
  • Hands-on experience using AI-enabled authoring, content-generation, or personalization tools (e.g., generative AI platforms, AI-assisted authoring software) to build or update training materials.
  • Demonstrated ability to take a training need from concept to delivered content quickly, using AI tools to compress traditional development timelines.
  • Strong instructional design judgment; able to translate subject matter expertise from technical and business SMEs into clear, engaging learning content.
  • Bias toward efficiency and iteration: a proven track record of improving content quality or delivery speed using data and feedback.
  • Comfort operating in a regulated, audited environment; able to work within FFIEC, SOC 2, and AFS data classification requirements when selecting and using AI tools.
  • Facilitation skills sufficient to lead live and virtual training sessions for employees and managers.

Nice To Haves

  • Familiarity with commercial lending, financial services, or B2B SaaS environments is a plus but not required.

Responsibilities

  • Design and build training content and learning modules using AI-enabled authoring tools, reducing development time versus traditional methods.
  • Personalize learning paths for employees and managers by tailoring content and pacing to role, skill gaps, and performance data.
  • Maintain and continuously update the L&D content library to keep materials accurate, relevant, and aligned with product and process changes.
  • Partner with subject matter experts across AFSVision, IRIS, CRN, and Pricing Dashboard teams to translate technical and functional expertise into effective training content.
  • Drive adoption of AI-enabled learning tools and resources by promoting their use, gathering feedback, and iterating on the employee experience.
  • Facilitate live and virtual training sessions and workshops on new skills, tools, and AI-enabled learning resources.
  • Evaluate, pilot, and recommend new AI-based learning technologies, vetting each against AFS data classification and security standards before use.
  • Measure and report on training effectiveness, completion rates, and skill-building outcomes, using data to prioritize content updates.
  • Support onboarding by building AI-personalized learning paths that accelerate new hire ramp-up.
  • Coach managers on integrating AI-enabled learning resources into team development and performance conversations.
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