Head of Data (Pricing & Revenue Intelligence)

About the role

Amenitiz, a platform for independent European hotels, is looking for a Head of Data to own its pricing and revenue intelligence: the strategy, the platform, the team and the products built with Product Managers and Designers. It is not a BI role: the person must have shipped data products that moved a business and still write code. The role is based in Barcelona.

Key responsibilities

• Turn data into revenue for hotels: learn from thousands of hotels and turn insights into actionable recommendations inside the product, with measurement rules set before launch and signed off by the CPO.
• Make the impact of each feature visible to hoteliers in the product, measured rigorously at platform level and against comparable hotels.
• Co-own the roadmap for revenue products, defining the data and models and ensuring every feature ships with a measurable hypothesis.
• Run the data foundation (warehouse, pipelines, instrumentation, reporting, self-serve analytics) with clear standards and service levels, and own the company's metric definitions.
• Set standards for the quality, access and privacy of guest and hotel data across four countries, and act as the senior voice on data in the leadership team.
• Lead and grow a small team of data engineers and data analysts, hiring, setting growth paths and building alongside them.
• Stay hands-on: write SQL and Python, ship models, debug pipelines and review code.

Required profile

• Has built products around data, not dashboards, and can show the business result of shipped models, recommendations or pricing logic.
• Has led a small data team in a startup with a small budget and limited process.
• Honest measurer: knows when an A/B test is the answer and uses matched controls, holdouts or synthetic controls when randomisation is not possible.
• Thinks in customer impact and owns revenue numbers.
• AI-first approach, with agents, LLM pipelines and automation.
• Fluent English; Spanish, French, Italian or Portuguese is a strong plus.
• Experience in hospitality, travel, marketplaces, pricing and revenue management, demand forecasting or econometrics is a plus.

Required skills

• SQL and Python
• Modern data tooling and experimentation
• Knowledge of AWS stack: Redshift, dbt, Airflow, Airbyte, Glue, SageMaker, Cube

What we offer

• Stock options with a progressive vesting schedule
• Health insurance and 25 days of holiday from day one, rising to 28 after the first year and 30 after two
• €10 a day lunch through the virtual canteen Kombo while working from the office
• Flexible benefits for meals, childcare, transport and training
• Book purchase and access to a shared team library

Hiring process: a 30-minute call with Talent Acquisition, a 60-minute conversation with the CPO, a management conversation, a case study on anonymised data, a final conversation with the CEO and references including a former direct report.