Sr. Technical Program Manager

Expedia•Chicago, IL

1d•$171,500 - $240,000•Onsite

About The Position

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. In this role, 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.

Requirements

Bachelor’s degree in a relevant technical, business, or equivalent field, or equivalent practical experience.
Significant experience leading technical programs involving multiple engineering teams, services, or interdependent workstreams.
Demonstrated ownership of program strategy, planning, execution, dependency management, risk mitigation, and stakeholder communication across a technical domain or organization.
Strong understanding of software development and technical concepts, including system design, API design, data modeling, architecture, and operational practices.
Experience using metrics, structured analysis, and delivery mechanisms to improve execution, quality, reliability, and business outcomes.
Background in Data and/or Advertising
Experience delivering complex, large-scale technical programs across multiple domains, platforms, or organizations.
Proven ability to influence architecture and technical direction through strong partnership with engineering and product leaders.
Experience establishing operating models, governance, and continuous-improvement mechanisms that increase delivery predictability and operational excellence.
Demonstrated ability to use data and technical insights to identify trade-offs, prioritize investments, and guide decisions in ambiguous environments.
Experience leading programs that incorporate AI/ML-enabled capabilities, including evaluating risks, coordinating responsible implementation, and translating AI/ML concepts into practical product or platform outcomes.

Nice To Haves

Background in Data and/or Advertising
Experience delivering complex, large-scale technical programs across multiple domains, platforms, or organizations.
Proven ability to influence architecture and technical direction through strong partnership with engineering and product leaders.
Experience establishing operating models, governance, and continuous-improvement mechanisms that increase delivery predictability and operational excellence.
Demonstrated ability to use data and technical insights to identify trade-offs, prioritize investments, and guide decisions in ambiguous environments.
Experience leading programs that incorporate AI/ML-enabled capabilities, including evaluating risks, coordinating responsible implementation, and translating AI/ML concepts into practical product or platform outcomes.

Responsibilities

Lead complex, cross-functional technical programs from planning through delivery, aligning engineering, product, and business stakeholders around measurable outcomes.
Establish program strategy, milestones, dependencies, risks, and operating mechanisms across multiple services, teams, or technical domains.
Drive execution through clear communication, data-informed decision-making, structured problem solving, and timely escalation of issues that may affect delivery.
Partner with technical leaders on system design, API design, data modeling, architecture decisions, and delivery plans for scalable solutions.
Improve program predictability and operational excellence by establishing metrics, identifying process gaps, and implementing mechanisms that strengthen quality, reliability, and efficiency.
Safely integrate and operate AI/ML-enabled solutions that improve outcomes, while demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.