Senior Engineering Manager, EG Metrics Platform (EGMP)

Job Summary

Senior Engineering Manager, EG Metrics Platform (EGMP)

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.

Responsibilities

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 EGMPs 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

Bachelors 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 (Spark, Trino, Iceberg).

Accommodation requests

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