Sr. Technical Program Manager

Expedia•Chicago, IL

14h•$171,500 - $240,000

About The Position

Expedia Group is hiring a Sr. Technical Program Manager to lead complex, cross-functional technical programs from planning through delivery. The role aligns engineering, product, and business stakeholders around measurable outcomes and establishes program strategy, milestones, dependencies, risks, and operating mechanisms across multiple services, teams, or technical domains. It partners with technical leaders on system and API design, data modeling, architecture decisions, and delivery plans for scalable solutions. The position also improves execution predictability and operational excellence through metrics, process improvements, and mechanisms that strengthen quality, reliability, and efficiency. The role includes safely integrating and operating AI/ML-enabled solutions and applying familiarity with AI-driven systems, tools, workflows, and concepts to real-world products. The position is based in Chicago for the stated compensation range. Starting pay varies based on location, budget, and the candidate’s knowledge, skills, and experience. The cash range is $171,500 to $240,000, with potential to increase up to $274,500 based on sustained performance. Expedia Group offers benefits and perks intended to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and IATAN membership.

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

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 delivery issues.
Partner with technical leaders on system design, API design, data modeling, architecture decisions, and delivery plans for scalable solutions.
Establish metrics, identify process gaps, and implement mechanisms to improve predictability, quality, reliability, and efficiency.
Safely integrate and operate AI/ML-enabled solutions that improve outcomes, applying familiarity with AI-driven systems, tools, or workflows and AI/ML concepts to real-world products.
Use data and technical insights to identify trade-offs, prioritize investments, and guide decisions in ambiguous environments.
Evaluate risks, coordinate responsible implementation, and translate AI/ML concepts into practical product or platform outcomes.