Amenitiz

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

1. 30-minute conversation with Talent Acquisition.
2. 60-minute conversation with the Chief Product Officer.
3. Management conversation focused on your approach to team leadership.
4. Case study using real, anonymised data.
5. Final conversation with the CEO.
6. References, including a former direct report.