Head of Data

We're looking for a hands-on Head of Data to lead pricing and revenue intelligence, build data products that measurably improve business outcomes, and guide a high-performing data team.

🎯 Responsibilities

• Turn platform data into revenue for hotels by understanding how hoteliers use the product and translating insights into clear, trusted recommendations and actions.
• Prioritize the highest-value opportunities, ship solutions, measure their impact, and expand what works.
• Make the financial impact of data products measurable and visible to hoteliers within the product.
• Establish rigorous platform-level measurement and evaluate results for individual hotels against comparable hotels that did not use the solution.
• Define measurement rules before features launch and ensure results are evaluated consistently.
• Co-own the roadmap for revenue-focused products with Product Managers and Designers.
• Define the data and models behind these products, ensuring every revenue feature includes a measurable hypothesis and a way to learn from its results.
• Lead the data foundation, including the warehouse, pipelines, instrumentation, company reporting, and self-service analytics.
• Set clear standards and service levels so the data foundation reliably serves both people and AI agents.
• Own company-wide metric definitions and ensure each metric has one consistent definition.
• Serve as the senior data voice on the leadership team.
• Set and maintain standards for the quality, access, and privacy of guest and hotel data across four countries.
• Lead, mentor, and grow a small team of data engineers and data analysts.
• Hire effectively, establish growth paths, provide feedback, and create an environment where the team can thrive.
• Lead by building alongside the team and stay actively involved in delivery.
• Write SQL and Python, ship models, debug pipelines, and review code.

🛠️ Technology environment

• AWS-based data platform
• Redshift and dbt for data modeling
• Airflow, Airbyte, and Glue for ingestion and orchestration
• SageMaker for machine learning models
• Cube as the semantic layer for dashboards and AI tools
• Internal AI assistant and agent services
• Code-based development and deployment through GitHub

📊 How success will be measured

• Data-driven features are in production and deliver measurable impact.
• Revenue impact is measured rigorously across the platform, made visible to each hotelier in the product, and supported by a defensible methodology.
• Impact is evaluated over an appropriate period, recognizing that meaningful results may take months to become statistically significant.
• Hotels adopt recommendations and automation and continue using them.
• Reporting and pipelines operate reliably without depending on a single person.
• The team remains healthy and stable, has clear growth paths, and ships to customers every week.

🧭 Requirements

• Experience building data products rather than only producing dashboards.
• Track record of shipping models, recommendations, or pricing logic into customer-facing products and demonstrating business impact.
• Ability to explain an initiative that did not work and the reasons why.
• Strong hands-on skills in SQL, Python, modern data tooling, and experimentation.
• Experience leading a small data team in a startup environment, including hiring, team development, standards, platform reliability, and working with limited resources and evolving processes.
• Strong understanding of experimentation and causal measurement, including when to use A/B tests, matched controls, holdouts, or synthetic controls.
• Commitment to accurate, transparent measurement and the ability to communicate results that are defensible.
• Customer-focused approach and comfort owning a revenue-related business outcome.
• Experience using AI-first approaches, including agents, LLM pipelines, and automation.
• Highly collaborative working style, with experience partnering closely with Product, Design, Engineering, leadership, and customer-facing teams.
• Fluent English.

➕ Nice to have

• Experience in hospitality, travel, marketplaces, pricing and revenue management, demand forecasting, or econometrics.
• Proficiency in Spanish, French, Italian, or Portuguese.

🤗 Benefits

• Stock options with a progressive vesting schedule.
• Comprehensive health insurance through Alan.
• 25 days of holiday from the first day, increasing to 28 days after the first year and 30 days after two years.
• €10 per working day for lunch through the virtual canteen, Kombo.
• Flexible benefits for meals, childcare, transportation, and training through tailored remuneration options.
• One book purchased for you, plus access to a shared team library.

📝 Hiring process

• 30-minute conversation with Talent Acquisition.
• 60-minute conversation with the Chief Product Officer.
• Management conversation focused on your approach to team leadership.
• Case study using real, anonymised data.
• Final conversation with the CEO.
• References, including a former direct report.