- Salary
- $249k – $349k
- Location
- USA - California - San Jose, United States of America
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Experience
- 10+ years
- Education
- Master
- Closing date
- Today
- Source
- Workday
Description
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.
Principal Data & AI Engineer, Reporting and Insights
Introduction to the Team:
Our Technology team partners across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and employees. Our shared technology platform, powered by data and machine learning, enables secure, differentiated, and personalized experiences that build loyalty and improve traveler satisfaction.
This role sits within the Strategic Operations and Execution organization in the CTO Office and leads the AI Reporting and Insights capability, helping leaders turn complex data into clear, decision-ready insights. As the Principal Data Engineer, AI Reporting and Insights, you will define how Expedia Group transforms operational, portfolio, and performance data into trusted executive insights. You will bring together reporting strategy, data architecture, and AI-enabled delivery to improve decision-making, reduce manual work, and build a scalable reporting foundation across the organization.
You will also help set the standard for responsible, high-quality AI-powered reporting by applying large language models, agentic AI workflows, and modern AI tooling to executive reporting and self-service insights.
In this Role You Will:
Own the AI-powered reporting and insights strategy from data ingestion through executive delivery, creating a unified approach to dashboards, metrics, narratives, and self-service insight products.
Lead the Data Integrations and Enablement Platform, including the reporting data architecture, pipelines, and infrastructure needed to support trusted, scalable reporting.
Integrate business intelligence, metrics, and AI-assisted reporting into a connected capability that improves quality, speed, and usability for leaders and teams.
Set technical and operational standards within CTO Office while inheriting the EG standards for reporting tools and platforms, including Tableau, Looker, and AI-native reporting solutions.
Design and implement LLM-powered reporting workflows, including prompt engineering, retrieval-augmented generation (RAG), and agentic pipelines, to automate narrative generation, surface anomalies, and deliver self-service insight products.
Evaluate, select, and integrate enterprise approved AI platforms such as Azure OpenAI, AWS Bedrock, Anthropic, or similar solutions, ensuring reliability, security, and cost efficiency in production use cases.
Establish governance standards for executive-facing AI outputs, including hallucination mitigation, validation, accuracy monitoring, and responsible AI practices.
Partner with senior leadership on the insights roadmap, investment priorities, and capability-building decisions that shape the future-state reporting model.
Provide technical leadership and coaching across the reporting ecosystem, helping teams adopt clear standards, stronger practices, and modern ways of working.
Minimum qualifications:
Bachelor's degree in Computer Science, Information Systems, Data Science, Business Intelligence, or a related technical field; or equivalent professional experience.
10 years of experience in data, analytics, business intelligence, reporting, or related technical roles with a Masters, 12 years with a Bachelors, or equivalent professional experience.
Strong proficiency in Python and SQL for data engineering, pipeline development, analytics, and AI/ML integration.
3+ years of hands-on experience building or deploying AI/ML or LLM-based applications, including prompt engineering, RAG architectures, or agentic workflows using frameworks such as LangChain, LlamaIndex, or equivalent tools.
2+ years of experience with at least one enterprise AI platform, such as Azure OpenAI, AWS Bedrock, Google Vertex AI, or an equivalent platform.
Preferred qualifications:
5+ years of experience leading cross-functional data or analytics programs at a Principal level or equivalent scope.
Experience designing and operating agentic AI systems that generate reports, answer data questions, or monitor metrics with minimal human intervention.
Familiarity with natural language interfaces for analytics, including NL-to-SQL and conversational BI patterns for enterprise environments.
Understanding AI output governance, including evaluation frameworks, confidence scoring, escalation patterns, and risk management for executive reporting use cases.
Experience with modern data platforms such as EG specific implementations of Spark and Flink on top of Iceberg. Snowflake, Databricks, or Delta Lake.
Familiarity with real-time or event-driven data patterns for low-latency insight delivery.
Strong executive communication skills, with the ability to translate complex technical concepts into clear business outcomes.
Working knowledge of responsible AI principles, including explainability, auditability, and trust in AI-generated summaries and recommendations.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed 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 International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
