Principal Learning and Development Architect

Expedia•Seattle, WA

About The Position

At Expedia Group, the Principal Learning and Development Architect will architect enterprise learning and development strategies, frameworks, and experiences that address complex organizational capability needs and deliver measurable business outcomes. The role translates business priorities, learner insights, and performance data into scalable learning architectures, curricula, and development solutions across multiple domains. The position leads the design of end-to-end learning ecosystems, including needs analysis, solution architecture, content strategy, delivery models, measurement, and continuous improvement. It establishes standards, principles, and reusable patterns for consistent, accessible, and engaging learning experiences. The architect partners with senior stakeholders, subject-matter experts, learning teams, Developer Experience, and technology leaders to align learning investments with organizational priorities and drive adoption. The role also designs role-based AI learning pathways and playbooks for Technology job families, extending the developer enablement model in partnership with Developer Experience.

Requirements

Bachelor’s degree in learning and development, instructional design, education, organizational development, business, technology, or a related field.
Significant professional experience designing and architecting enterprise learning, capability-building, instructional design, or organizational development solutions.
Experience owning strategy and architecture across multiple learning programs, domains, or organizational capabilities, rather than a single course or learning asset.
Demonstrated expertise in learning design principles, adult learning theory, curriculum architecture, learning technologies, evaluation methods, and data-informed improvement.
Hands-on use of AI tools in daily work and experience designing AI learning for a technical audience.

Nice To Haves

Strong hands-on AI fluency and technical credibility, including using AI tools every day to design, prototype, and test learning and teaching technical audiences in the context of their tools and workflows.
Experience building role-based learning pathways and playbooks across multiple technical job families, such as product, program management, data, design, and engineering leadership, adapting a common tool-agnostic framework to each role’s work.
Experience measuring whether AI skills and behaviors improved and connecting results to usage data and business outcomes without overstating cause and effect.
Track record of leading technology-driven behavior change through influence, turning skeptical stakeholders into partners, and adapting to organizational decisions without formal authority.
Experience designing and facilitating hands-on learning for leaders at every level and scaling it across global teams through champions, lab leaders, or train-the-trainer models.

Responsibilities

Architect enterprise learning and development strategies, frameworks, and experiences that address organizational capability needs and deliver measurable business outcomes.
Translate business priorities, learner insights, and performance data into scalable learning architectures, curricula, and development solutions across multiple domains.
Lead end-to-end learning ecosystem design, including needs analysis, solution architecture, content strategy, delivery models, measurement, and continuous improvement.
Establish standards, principles, and reusable patterns for consistent, accessible, and engaging learning experiences across the organization.
Partner with senior stakeholders, subject-matter experts, learning teams, Developer Experience, and technology leaders to align learning investments with organizational priorities and drive adoption.
Design role-based AI learning pathways and playbooks for Technology job families in partnership with Developer Experience.
Design ways to measure improvements in AI skills and behaviors and connect them to usage data and business results without overstating causality.
Design and facilitate hands-on learning for leaders at every level and scale it across global teams through champions, lab leaders, or train-the-trainer models.