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Technical Program Manager III, AI & Data

expedia201 open roles

Where
India - Gurgaon
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Your applicationOpen nowTechnical Program Manager III, AI & Dataexpedia · India - Gurgaon
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. expedia postings stay open a median of 17 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

expedia median: 17 days open

The posting

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.

Technical Program Manager III, AI & Data

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. This role sits in the AI and Data Organisation, supporting the AI and Analytics Platform team which makes AI, ML, analytics, metrics, behavioural data and experimentation fast, governed, reliable, self-service and cost effective for every Expedia team.

As a Technical Program Manager III, you will lead complex, cross-functional programs, connecting strategic goals to clear priorities, measurable outcomes, and predictable delivery. You will own integrated program plans from concept through completion and make scope, milestones, dependencies, risks, decisions, and critical paths visible so teams can make timely, informed trade-offs. You will raise risks and blockers early, apply sound judgment to options and trade-offs, and create clarity on ownership, decisions, and next steps. This role also strengthens portfolio visibility and operating rhythms across teams and divisions by creating practical planning and reporting mechanisms, and applying AI, automation, and reusable delivery frameworks to improve how work gets done.

What you’ll do

  • Lead strategic program delivery. Translate business objectives and product or technical requirements into integrated plans, milestones, workstreams, and execution priorities. Drive delivery end to end, adapting plans as scope, sequencing, capacity, or context changes.
  • Connect work to business outcomes: 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.
  • Make the portfolio visible: Maintain an accurate view of programs including commitments, status, dependencies, risks, and changes. Develop roadmaps and concise leadership updates that provide the right visibility with minimal overhead and be candid when commitments are at risk or information is unresolved.
  • Enable planning and prioritization: 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 the most important outcomes.
  • Drive cross-functional alignment: Coordinate engineering, product, design, data, business, and partner teams. Build trusted working relationships and help surface and resolve program-level questions about system design, APIs, data, operating models, and delivery approaches; document decisions, owners, and their implications so teams can move forward with shared understanding.
  • Manage risks, dependencies, and change: Identify issues and bottlenecks early, maintain clear ownership and mitigation plans, and escalate when needed. Track cross-team dependencies and critical paths, frame trade-offs, and communicate impacts to scope, schedule, and outcomes.
  • Establish effective operating mechanisms: Create or improve governance, status reporting, decision forums, team communications, and delivery practices that support transparent decisions and reliable execution without unnecessary process. Use expertise to recommend practical approaches when teams face ambiguity.
  • Advance AI & Data delivery frameworks: 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 that help teams spend more time on high-value work. Help teams safely integrate and operate AI/ML-enabled capabilities, applying foundational AI/ML concepts in real product and engineering contexts and using judgment about human review, data handling, and appropriate tool use.
  • Measure and improve: 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.
  • Build trusted partnerships: Develop strong working relationships with stakeholders who have varied perspectives. Communicate technical and business concepts clearly to delivery teams, partners, senior leaders, and executives.
  • Stay curious: Keep learning about the AI and Data domain, the business, emerging AI tools, and better ways of working; apply relevant learning to continually improve program delivery.

Minimum Qualifications

  • 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 understand of SDLC is a foundational requirement 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, 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.

Preferred 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 one or more of the following: data platforms, semantic or metrics layers, experimentation platforms, BI or self-service analytics, or developer-facing platform products.
  • You have 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.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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