Director Technical Program Management , Planning

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors—Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together—help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

As Director, Technical Program Management & Planning, you will play a pivotal role in translating the CTO's strategic vision into execution s leader will oversee the Technical Program Management function supporting the organization's most critical technology initiatives while shaping the planning, prioritization, and operating rhythms that align Engineering and Product investments across the portfolio. Balancing strategic influence with operational rigor, you will partner closely with senior technology and product leaders to ensure resources, roadmaps, and execution are focused on the work that matters most.

• Lead and develop the CTO-aligned Technical Program Management team, setting the standard for AI-native TPM craft and ensuring delivery against scorecard, say-do ratio, and AI adoption outcomes.
• Own and curate the CTO TPM program slate, defining and refining intake, triage, and handoff criteria so the team focuses on the most complex, cross-cutting, and high-impact initiatives across Tech.
• Architect and run the planning and operating cadence for annual and quarterly cycles, translating top-level strategic priorities into clear, capacity-checked, initiative-level plans in close partnership with Product and Engineering.
• Manage engineering commitments and headcount allocation across subdivisions, building and maintaining the visibility layer that connects strategic goals to execution, including progress, scope, and delivery mix.
• Drive the TPM community of practice and cross-organizational standards, tooling, and development, advancing an AI-native operating model and safely integrating AI/ML-enabled solutions into TPM workflows to improve planning and delivery outcomes.
• Partner with Analytics and other stakeholders to turn planning into a continuous feedback loop, using data and AI-assisted insights to inform mid-quarter rebalancing, optimize resource allocation, and improve predictability across the portfolio.

• 12+ years of relevant professional experience for Bachelor's or 10+ years for Master's, including at least 4 years leading TPM teams or a TPM function with Director-level people leadership scope across multiple engineering groups or equivalent experience.
• Proven experience running enterprise-scale annual and quarterly planning cycles, including capacity planning, commitment tracking, and headcount allocation across several engineering organizations or subdivisions.
• Demonstrated ability to operate as a strategic peer to Engineering and Product leadership, influencing where TPM and engineering investment is focused and shaping the portfolio rather than only executing assigned backlogs.
• Experience establishing or scaling a TPM craft/community capability, including defining leveling frameworks, competency standards, and mentorship or development pathways for TPMs.
• Fluency with modern AI-driven systems, tools, or workflows used in program management, including practical experience applying AI/ML concepts to real-world…