Manager, Data Science - AI at Expedia

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to team

Our Corporate Functions are made up of teams that support Expedia Group, including our Global Finance Org., Traveler and Partner Service Platform, Legal Team, Strategy and Corporate Development Team, and People & Places Org.

At Expedia Group, the AI for Finance team is building scalable, enterprise-grade AI capabilities that transform how Finance teams operate across FP&A, Accounting, Treasury, Tax, and Compliance.

As a Technical Manager, Data Science- AI, you will design, develop, and scale production-grade AI products that are embedded into core Finance workflows. This role is hands-on and execution-focused, requiring strong engineering fundamentals, architectural thinking, and the ability to quickly learn and apply new tools in the rapidly evolving AI ecosystem.

You will work closely with Product, Engineering, and Finance stakeholders to translate complex business problems into reliable, explainable, and scalable AI solutions.

This role plays a critical part in scaling AI for Finance by delivering trusted, enterprise-grade AI systems that meaningfully improve how Finance teams operate across Expedia Group.

In this role, you will:

• Design, build, and deploy AI-powered products and platforms used by Finance teams

• Develop LLM-driven solutions including prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows

• Build and maintain backend services, APIs, data pipelines, and AI orchestration layers

• Translate Finance use cases into scalable technical solutions in partnership with Product and stakeholders

• Rapidly prototype, iterate, and take solutions from concept to production

• Design systems that balance performance, scalability, cost, and reliability

• Ensure AI solutions are explainable, production-ready, and aligned with security and governance requirements

• Implement monitoring, logging, and observability for AI systems

• Optimize system performance, reliability, and cost over time

• Document solutions and contribute to enablement and adoption

Experience and Qualifications

• Strong hands-on programming experience in Python and SQL; Java preferred

• Experience building and deploying AI / ML / LLM-powered systems in production

• Expertise in prompt engineering (structured, constrained, schema-aware) and designing RAG-based solutions

• Experience building agentic workflows with multi-step reasoning, tool usage, and memory

• Familiarity with modern LLMs and frameworks such as OpenAI (GPT-4/5), Claude, Gemini, Llama, LangChain, LlamaIndex, and Semantic Kernel

• Experience working with vector databases such as Pinecone, Weaviate, or FAISS

• Strong understanding of semantic modeling, business metrics abstraction, and time-series analysis (YoY, WoW, fiscal calendars)

• Experience designing API-first backend systems using FastAPI, Flask, or Node.js

• Hands-on experience with data platforms such as Databricks, Starburst

• Familiarity with cloud-native development on AWS

• Experience with containers, CI/CD pipelines, and basic MLOps practices

• Understanding of AI security concepts including prompt injection prevention, PII masking, auditability, and role-based access

• Ability to quickly learn new tools, frameworks, and AI developments and apply them effectively

• 7–10 years of experience in Software Engineering, Data Science, ML Engineering, or AI Product Engineering

• Proven track record of delivering production-grade AI or data-driven systems

• Strong system design skills and ability to reason about architectural trade-offs

• AI products are built, shipped, and adopted by Finance teams

• Solutions are scalable, reliable, secure, and production-grade

• Finance workflows demonstrate measurable improvement through AI

• Technical execution consistently delivers business impact

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.