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Expedia Group

Runs travel booking sites for people and companies

Technical Program Manager 3 - AI & Data

Program ManagementPosted on Nov 12
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • You have 5+ years of experience leading technical programs with cross-functional dependencies in platform, infrastructure, data, analytics, or similarly complex engineering environments.
  • Prior technical background and core understanding of the software development lifecycle (SDLC) are foundational requirements for success in this role.
  • You have experience planning and delivering moderately complex programs across multiple teams, including managing timelines, dependencies, risks, milestones, and execution reporting.
  • You are skilled at building clarity and accountability through dashboards, status communication, governance mechanisms, and structured operating rhythms.
  • You are comfortable influencing without authority and aligning engineering, product, and business stakeholders around trade-offs, priorities, and next steps.
  • You have strong technical fluency and can understand distributed systems, application programming interfaces (APIs), services, data flows, architecture discussions, and operational risks well enough to ask the right questions and surface gaps early.
  • You use data and metrics to make program decisions, identify trends, surface risks, and tell a clear story to technical and leadership audiences.
  • You have experience operating effectively in ambiguous environments and creating structure that helps teams move forward with confidence.
  • You communicate clearly and concisely across different audiences and can translate complex technical or delivery topics into actionable updates and decisions.
  • You bring a strong ownership mindset, sound judgment, and the ability to work collaboratively across teams, functions, and time zones.

Responsibilities

  • Lead strategic program delivery by translating business objectives and product or technical requirements into integrated plans, milestones, workstreams, and execution priorities; drive delivery end to end and adapt plans as scope, sequencing, capacity, or context changes.
  • Partner with functional area and team leaders to assess whether proposed work supports AI and Data and Expedia Group priorities; define success criteria and measurable outcomes before execution, and use results to guide decisions and continuous improvement.
  • Maintain an accurate view of programs, including commitments, status, dependencies, risks, and changes; develop roadmaps and concise leadership updates that provide visibility with minimal overhead, and disclose when commitments are at risk or information is unresolved.
  • Support quarterly planning cycles that connect team commitments to Expedia Group goals; facilitate prioritization and trade-off discussions so leaders and teams can focus capacity on important outcomes.
  • Coordinate engineering, product, design, data, business, and partner teams; build working relationships and surface and resolve program-level questions about system design, APIs, data, operating models, and delivery approaches; document decisions, owners, and implications.
  • Identify issues and bottlenecks early, maintain ownership and mitigation plans, escalate when needed, track cross-team dependencies and critical paths, frame trade-offs, and communicate impacts to scope, schedule, and outcomes.
  • Create or improve governance, status reporting, decision forums, team communications, and delivery practices that support transparent decisions and reliable execution without unnecessary process; recommend practical approaches when teams face ambiguity.
  • Use appropriate AI-enabled tools and automation to streamline program planning, synthesis, reporting, risk identification, and repeatable workflows; develop reusable program frameworks and self-service paths; help teams safely integrate and operate AI/ML-enabled capabilities, applying foundational AI/ML concepts in product and engineering contexts and using judgment about human review, data handling, and appropriate tool use.
  • Define and report program and team outcomes, delivery health, and relevant performance metrics; monitor product or capability performance after launch, identify opportunities to simplify processes, and turn insights into actionable improvements; use data and operational insights to improve predictability, workflow, and delivery quality.
  • Develop strong working relationships with stakeholders who have varied perspectives and communicate technical and business concepts clearly to delivery teams, partners, senior leaders, and executives.
  • Continue learning about the AI and Data domain, the business, emerging AI tools, and better ways of working, and apply relevant learning to improve program delivery.

Desired Qualifications

  • Experience delivering complex technical programs at scale, particularly where operational excellence, reliability, security, production readiness, or customer outcomes are central.
  • Demonstrated ability to influence architecture and technical decisions across teams or domains without direct authority, including communicating trade-offs and helping teams reach alignment.
  • Experience establishing program metrics, dashboards, or feedback mechanisms that surface execution challenges and improve predictability and delivery performance.
  • Practical experience applying AI-assisted program or engineering tools, or AI/ML concepts, to improve product capabilities, delivery workflows, risk management, or business outcomes.
  • Experience with data platforms, semantic or metrics layers, experimentation platforms, business intelligence (BI) or self-service analytics, or developer-facing platform products.
  • Experience driving platform adoption or consolidation efforts across multiple customer groups and partner organizations.
  • Experience supporting data governance or management capabilities such as metadata, lineage, access control, certification, or data quality.
  • Experience driving platform adoption or consolidation across customer groups and partner organizations, including programs supporting executive reporting, experimentation, or shared analytics at scale.

About the Company

Expedia Group

Runs travel booking sites for people and companies

Expedia Group runs online travel brands such as Expedia, Hotels.com, and Vrbo, where people book hotels, vacation homes, flights, and rental cars, and it supplies the same travel to other companies. Its Expedia site was one of the first online travel agencies, letting people compare and book flights and hotels on the web without calling a travel agent. Travelers search and pay through its apps and websites, while partners such as airlines and banks plug its hotel and flight listings into their own booking sites. Expedia earns commissions and markups on bookings and sells advertising to hotels and other travel companies. It began in 1996 as a division of Microsoft and is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1996

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