Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif and others), it’s our mission to power global travel for everyone, everywhere, because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world’s largest travel platforms. With unrivaled knowledge of the industry and advanced tech innovation, we built a marketplace that allows us to filter through millions of different possibilities, for travelers and partners worldwide.

Expedia Group is seeking a visionary and execution-driven Director of Machine Learning Science to lead our Supply AI/ML team. This is a high-impact leadership role responsible for driving the scientific strategy, technical excellence, and organizational growth that power Expedia’s global supply business.

This leader will partner closely with Supply business stakeholders, Product, Engineering, Operations, and Supply Analytics to shape and execute the AI/ML vision that unlocks better performance, marketplace efficiency, and long-term business value.

You will serve as a manager of managers, a trusted thought partner to senior leadership, and a domain expert across multiple scientific disciplines including machine learning, causal inference, optimization, and generative AI.

What you’ll do:

Strategic Leadership & Vision

• Define, evolve, and execute the long-term AI/ML strategy for Expedia’s Supply organization, aligning with company goals and supply business priorities.

• Act as an AI/ML thought leader for the Supply domain—driving scientific innovation, influencing business strategy, and shaping Expedia’s approach to supply intelligence.

Cross-Functional Partnership

• Build strong relationships with Supply business executives and cross-functional leaders (Strategy, Operations, Product, Engineering, Analytics).

• Partner with senior leadership to incorporate AI/ML solutions into strategic planning, supply growth, partner engagement, and operational efficiency.

• Communicate complex scientific concepts in clear, actionable ways to non-technical stakeholders.

Team Leadership & People Management

• Lead, mentor, and grow a high-performing team of managers and applied scientists.

• Attract top talent and build long-term talent pipelines.

• Foster a culture of scientific excellence, collaboration, and inclusive leadership.

• Provide career development, coaching, and performance management for a multi-level organization.

Scientific & Technical Excellence

• Oversee the development, deployment, and maintenance of large-scale AI/ML models that optimize supply health and partner performance.

• Guide technical direction in two or more areas such as machine learning, causal inference, optimization, or generative AI.

• Ensure scientific rigor, reproducibility, and responsible AI standards.

• Collaborate with engineering teams to operationalize models in production environments.

Innovation & Applied GenAI

• Drive innovation in generative AI applications for supply partner experience, operational automation, or supply intelligence.

• Stay current with emerging technologies and evaluate how Expedia can leverage them for competitive advantage.

Experience and qualifications:

• Advanced degree (MS/PhD) in Computer Science, Machine Learning, Statistics, Econometrics, Operations Research, or a related field and 10+ years of people leadership experience, including managing managers and scaling applied science teams.

• Proven track record leading AI/ML organizations that deliver measurable business impact.

• A strong willingness to dive into data details when needed—comfortable reviewing code, analysis, model behaviour, and experiment performance to ensure scientific rigour and unblock teams

• Deep expertise in two or more scientific domains: Machine Learning, Causal Inference & Experimentation, Optimization, Generative AI

• Strong executive-level communication skills with the ability to influence business strategy through data and science.

• Experience delivering AI/ML solutions in large-scale production systems. Delivering Applied GenAI solutions is a significant plus.

• Background in e-commerce, marketplaces, travel, or supply/demand platforms is preferred (but not required).