Head of Learning Architecture, AWS Training and Certifications

Key job responsibilities

• Own the knowledge layer strategy. Define and execute the product vision, including the persona framework, skills, learning objective service, assessment architecture, and quality rubric system.
• Lead and develop the Learning Architect team. Build and manage a team of Learning Architects that set the standard for what a great specifications looks like. Define the operating model for how Learning Architects collaborate with AI for adaptive personalized content creation. Hire, develop, and retain world-class talent in a role that is new to the industry.
• Own content product development direction and strategy for the AI agents that helps Learning Architects. Partner with Applied Science and Engineering to define the roadmap and prioritize AI capabilities.
• Drive quality at scale. Own the Quality & Rubric Engine — the system that validates AI-generated output against human-calibrated standards. Set the target, build the calibration methodology, and ensure nothing ships below the quality bar. Quality is not a gate you apply at the end; it is a system you build into the architecture.
• Govern the AWS skill taxonomy. Own the governed skill structure that gives AI a consistent foundation to reason. Ensure cross-persona consistency, resolve conflicts, and maintain the integrity of the taxonomy as AWS services evolve.
• Define portfolio strategy. Look across all personas to identify where to invest, where to sunset, and what new roles are emerging that don't yet have a Learning Architect assigned. Own the macro view of coverage, gaps, skills needs and shifts.
• Operate as a senior leader in the Training Products org. Report to the Director of Training Products. Influence cross-org decisions on product architecture, engineering investment, and organizational design. Represent Learning Architecture in VP-level reviews. Partner with Engineering to ensure the systems your team depends on are built and maintained.

Basic Qualifications

• 5+ years of people management experience
• Bachelor's degree in Computer Science or a related field
• Experience in people management
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience overseeing roadmap strategy and definition
• Experience with feature delivery and tradeoffs of a product
• Experience in building products with Agentic AI

Preferred Qualifications

• 8+ years of successful technology products work from ideation through launch experience
• Experience in successful technology product work from ideation through launch
• Experience delivering technology products or services in a high growth environment
• Experience shaping business strategy for technical products or services for large enterprises or partners
• Experience with cloud native technologies