Principal Program Manager - Transformation Programs

Expedia Group•Seattle, WA

1d•$231,000 - $323,500

About The Position

The Principal Program Manager, Transformation Programs, works within Expedia Group’s AI Enablement and Culture Office, which advances responsible, measurable AI adoption across the company. The role leads enterprise-scale change that turns strategic ambition into sustained behaviors, capabilities, and business impact. It combines strategic thought leadership and enterprise coordination with operating-model design and delivery of measurable outcomes. The position leads complex, multi-year transformation programs and portfolios across products, platforms, functions, and regions, from problem definition through adoption and value realization. It works with senior technology, product, data, operations, and business leaders to align priorities, resolve competing demands, manage dependencies, and secure sponsorship. The role establishes governance, operating rhythms, decision forums, roadmaps, and measurement systems; shapes culture-change strategies that build AI fluency and responsible experimentation; and defines outcome-oriented measures of adoption, behavior change, delivery health, and business impact. The Principal Program Manager also develops reusable transformation playbooks, operating models, tools, and practices, including responsible AI-enabled workflows. The role requires sufficient technical fluency to participate in discussions about systems, APIs, data, platforms, integration, reliability, and operational readiness, without owning engineering design or staffing decisions. It coaches leaders and senior practitioners and builds communities of practice to strengthen enterprise transformation capability.

Requirements

Bachelor’s degree in business, engineering, computer science, or a related technical field, or equivalent related professional experience.
At least 10 years of experience leading complex, cross-functional transformation, change, or technology program portfolios in large, matrixed organizations.
Demonstrated ability to influence across organizations and levels, navigate ambiguity, resolve complex conflicts, and build alignment without relying on formal authority.
Experience creating enterprise or cross-organization governance, delivery mechanisms, measurement frameworks, and operating models that improve execution and sustained adoption.
Strong strategic communication, facilitation, storytelling, executive presence, active listening, and relationship-building skills.
Technical aptitude across modern technology environments, including system interactions, APIs, data flows, platform modernization, integration patterns, reliability, and operational resilience.
Experience applying data, analytics, and AI-enabled tools to improve program visibility, forecasting, scenario planning, decision-making, or workflow effectiveness.

Nice To Haves

Experience leading enterprise AI adoption, digital transformation, operating-model change, or workforce and culture transformation at global scale.
A track record of converting strategy into repeatable practices, measurable behavior change, and durable business outcomes across multiple domains.
Experience establishing responsible AI guardrails, adoption measurement, capability assessments, learning ecosystems, or champion networks.
Thought leadership in transformation, change management, technical program management, organizational culture, responsible AI, or data-driven execution.

Responsibilities

Lead complex, multi-year enterprise transformation programs and portfolios across products, platforms, functions, and regions, from problem definition through sustained adoption and value realization.
Partner with senior technology, product, data, operations, and business leaders to align priorities, resolve competing demands, manage dependencies, and secure sponsorship for enterprise change.
Establish governance, operating rhythms, decision forums, roadmaps, and measurement systems that create clarity, accountability, and predictable execution.
Shape and execute culture-change strategies that build AI fluency, psychological safety, responsible experimentation, and new ways of working; activate leaders, champions, and communities to reinforce adoption.
Define outcome-oriented metrics and evidence-based narratives to show progress in capability, adoption, behavior change, delivery health, and business impact, and use them to guide prioritization and trade-offs.
Build and scale reusable transformation playbooks, operating models, tooling, and patterns, including responsible AI-enabled workflows that improve visibility, forecasting, decision quality, and execution.
Participate in discussions about systems, APIs, data, platforms, integration, reliability, and operational readiness without owning engineering design or staffing decisions.
Coach leaders and senior practitioners, raise the standard of transformation and program-management practice, and establish communities of practice that build lasting enterprise capability.