Senior Engineering Manager, EG Metrics Platform (EGMP)

Posted 16 Hours Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Leads the vision, architecture, governance, onboarding, and delivery of Expedia Group’s enterprise metrics platform. Manages and develops engineering teams, partners with product and analytics stakeholders, drives AI-assisted platform capabilities, and establishes SLO-based standards for reliability, security, observability, quality, incident response, and cost management.
Summary Generated by Built In

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.

Senior Engineering Manager, EG Metrics Platform (EGMP)

Introduction To The Team
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. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.


Within this organization, the EG Metrics Platform (EGMP) team in the AI & Analytics Platform organization is on a mission to build Expedia Group’s enterprise-wide semantic layer — a centralized metrics platform that standardizes how business metrics are defined, computed, governed, and consumed across the company. As the single source of truth for critical business metrics such as bookings, revenue, visits, funnel progression, and conversion, we power executive reporting, experimentation, BI dashboards, and self-serve analytics at scale. Semantic layers are increasingly vital in the age of LLMs and AI agents because they reduce hallucinations, enforce consistency, and enable trusted metric discovery. Our team is at the forefront of this shift, building an AI-powered semantic layer with agentic capabilities for natural-language metric exploration, intelligent anomaly detection, automated operations, and governed AI-ready data access.


In This Role, You Will:

  • Set and communicate a multi-year engineering vision and roadmap for a high-impact data and metrics platform.
  • Own the strategy, architecture, and delivery of EGMP's onboarding and governance capabilities while working closely with the computation and consumption teams to shape end-to-end platform decisions.
  • Lead, coach, and grow engineering teams, including hiring, performance management, succession planning, career development, and inclusive team culture.
  • Partner with Product and senior stakeholders across Analytics, Experimentation, and platform teams to turn ambiguous problems into clear priorities, measurable outcomes, and durable cross-team alignment.
  • Drive adoption of AI-assisted onboarding, metric reuse, governance, monitoring, root-cause analysis, and other capabilities that improve engineering and analyst productivity.
  • Establish an SLO-driven operating model for reliability, security, observability, quality, incident response, and cost management at enterprise scale.

Minimum Qualifications:

  • Bachelor's or master’s degree in computer science or a related technical field, or equivalent related professional experience.
  • 8+ years of software or data engineering experience, including 5+ years directly managing engineering teams.
  • Experience building and operating distributed, data-intensive, or platform products at scale, ideally self-serve tools used by many teams.
  • Experience building platform capabilities for data governance, metadata, or self-serve onboarding (e.g., access control, lineage, certification, catalogs, or developer-facing creation workflows).
  • Track record of managing through complexity: setting direction, prioritizing investments, resolving cross-team dependencies, and delivering reliable systems over multiple planning horizons.
  • Strong understanding of software architecture, data processing, cloud platforms, APIs, observability, security, and operational excellence.
  • Demonstrated success hiring, developing, and retaining diverse engineering talent, including senior engineers.
  • Excellent written and verbal communication, including influencing senior stakeholders on standards and priorities.

Preferred Qualifications:

  • Experience with semantic layers, metrics stores or data catalogs, and corresponding analytics products.
  • Experience applying AI or machine learning to developer productivity, data onboarding, platform operations, discovery, or decision support.
  • Product sense for self-serve UX, including a record of improving onboarding funnels or reducing support load.
  • Hands-on familiarity with SQL, data modeling, and distributed query or compute engines (e.g., Spark, Trino, Iceberg).

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.

Skills Required

  • Bachelor's or master's degree in computer science, a related technical field, or equivalent professional experience
  • 8+ years of software or data engineering experience
  • 5+ years directly managing engineering teams
  • Experience building and operating distributed, data-intensive, or platform products at scale
  • Experience building data governance, metadata, or self-service onboarding platform capabilities
  • Experience setting direction, prioritizing investments, resolving cross-team dependencies, and delivering reliable systems
  • Strong understanding of software architecture, data processing, cloud platforms, APIs, observability, security, and operational excellence
  • Demonstrated success hiring, developing, and retaining diverse engineering talent, including senior engineers
  • Excellent written and verbal communication and ability to influence senior stakeholders
  • Experience with semantic layers, metrics stores, data catalogs, or analytics products
  • Experience applying artificial intelligence or machine learning to developer productivity, data onboarding, platform operations, discovery, or decision support
  • Product sense for self-service user experiences and improving onboarding funnels or reducing support load
  • Hands-on familiarity with SQL, data modeling, and distributed query or compute engines such as Spark, Trino, or Iceberg

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits — Travel-aligned perks such as employee travel discounts and an annual travel/wellness reimbursement stand out as distinctive elements of the package. Wellness resources and mental health tools further enhance day-to-day lifestyle value.
  • Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with strong support including EAP and mental health offerings. U.S. coverage is frequently highlighted as a particular strength.
  • Parental & Family Support — Paid parental leave is characterized as generous for all parents, with additional time for the birthing parent. Family-building and caregiving resources extend to fertility, adoption, surrogacy, gender-affirming care, and specialized caregiver support.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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