Director of Experimentation & Measurement

As Booking.com envisions a future in which it will serve customers a one-stop solution for all travel-related needs, we are working towards offering a fully 'Connected Trip', in which every aspect of the travel experience can be planned and booked through us.

The Marketplace Business Unit leads the overarching traveller experience on our platform, including traveller-facing journeys that are common across verticals, as well as our customer loyalty program, and company-wide Experimentation capabilities.

Booking.com's Marketplace Department turns travel goals into travel realities. Our purpose? To create streamlined experiences at each and every stage of the trip. From browsing to booking and beyond, our focus is on building the connected experiences which make journeys smoother, faster and more enjoyable. Think of us as travel matchmakers, ensuring flawless integration across our product verticals to effortlessly and intuitively connect traveler preferences and actions.

• Develop and implement the company's Experimentation and Measurement strategy to drive data-driven decision-making and long-term value for both travelers and partners. Drive craft Excellence in Experimentation, Measurement, and Discovery across Booking.com.
• Develop and implement Experimentation and Data Science standard processes, frameworks, and guardrails across Booking.com to improve user experience and business performance.
• Strengthen our Data Science, Experimentation, and Measurement muscle beyond craft members, expand the application of Causal Inference and Model-based Techniques, and work closely with User Research on metrics discovery and rapid user testing. Advocate for experimentation standard methodologies across the company and drive a culture of curiosity, learning, and data-driven decision-making. Promote the value of experimentation to leadership and teams across departments.
• Be responsible for the Measurement Framework and metrics development across the Connected Trip (Incrementality, Customer Lifetime Value, Customer Equity, Predictive metrics to name a few) in close collaboration with the Marketing, Product, Data, and Research teams across Booking.com and Marketplace.
• Partner with product, engineering, marketing, and business team members to find opportunities for experimentation and ensure alignment with company goals and objectives. Effectively communicate experimental results, insights, and recommendations to senior leadership, driving informed decisions at the highest levels of the company.
• Be a Discovery and Sparring partner for other teams across the Marketplace Data Org, working closely with the Customer Data and Insights, DSA, and ML on operationalizing and productizing the insights into our Data Platforms and Booking Products.
• Lead, mentor, and grow a high-performing team of data scientists and analysts, fostering a culture of innovation, teamwork, and continuous learning.

• Significant years of experience as data science authority at a high growth enterprise, with extensive exposure to Experimentation and Causal Inference in consumer-facing online products
• Hold a higher degree in a Data Science field such as Computational Biology, Statistics, Quantitative Social Science, Mathematics, or a related field (PhD preferred but not required).
• Subject matter expertise in Data Science and/or Analytics with a consistent record of working on successful innovative products at a global scale and deep involvement in Experimental Design, Measurement, and Causal Inference
• Experience with leading and coaching teams of senior Data Scientists and managers and an ability to build and grow Data Science teams as needed.
• Experience working with Product and Technology departments and cross functional senior collaborators.
• Able to apply extraordinary data science products to Marketplace initiatives using excellent change-management and story-telling skills.
• Set the vision and strategy to use data to steer the Experimentation and Measurement initiatives for our business.
• Able to function in a fast-moving high-reaching environment

• Humble yet confident, with high self-awareness
• Validated ability to lead data science teams across geographies and departments
• A strategic problem solver yet focused on execution; able to roll up the sleeves to get things done
• Self-starter with high energy and drive; fast-paced and results-driven; forward-thinking
• Experimental, ready to learn and open to change
• Keep the customer at the center of everything you do
• Data-driven
• Good cultural and interpersonal sensitivity