Jobs Companies Lodgify Data Director

Über diese Data Director Stelle bei Lodgify

Lodgify · Hybrid · Barcelona - Cataluña
Who we are
 
Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.
 
Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.

Role Overview

The Director of Data is a strategic leader and technical architect responsible for transforming the company’s data into a high-leverage product. You will lead the evolution of our data ecosystem, from infrastructure and governance to organisational culture and AI integration.

This role requires a unique balance of strategic foresight to design the data operating model and operational excellence to ensure our technical stack remains performant and reliable. You will be the primary advocate for a "Data as a Product" mindset, dismantling silos and bridging the "context gap" to enable true, frictionless self-service across the business.

⭐ How will you make an impact?

1. Data Governance & Democratization

  • Single Source of Truth (SSoT): Establish a Ubiquitous Language across the organisation to ensure metrics like are defined and interpreted identically across all departments.
  • Standardisation Framework: Implement and oversee a strong Data Architecture within our DataWarehouse to ensure data quality and lineage.
  • Data Cataloging: Deploy and maintain a centralised Data Catalog that treats data as a governed product, ensuring every dataset has an owner, a definition, and a clear business purpose.
  • 2. Data "Self-Serve" & Data as a Product

  • Frictionless Access: Shift the organisation from "Access to Tables" to "Access to Information" by building high-context data models that reflect business logic rather than raw database schemas.
  • Product Thinking: Apply product management principles to data assets, gathering requirements, iterating on user feedback, and measuring the "internal NPS" of our data tools.
  • 3. Organisational Design & Strategy

  • Operating Model: Design and evolve the data team structure (Centralised vs. Embedded) to ensure analysts and scientist are close to the business problems they solve while maintaining central technical standards.
  • Strategic Bandwidth: Structurally protect the team's time, ensuring a healthy split between high-impact Strategic Initiatives and essential operational support or maintenance.
  • Talent Development: Define roles and career paths for a modern data stack, focusing on the rise of Analytics Engineers and Data Strategists.
  • 4. Data Up-skilling & Culture

  • Literacy Programs: Lead the internal "Data Academy" to up-skill non-technical stakeholders, moving the company from a "Launch and See" culture to a Hypothesis-Driven model.
  • Experimentation Framework: Evangelise a tiered testing strategy (Fake Door, MVEs, and Full A/B testing) to ensure resources are allocated based on the maturity of the business assumption.
  • 5. Platform Engineering & AI Tranformation

  • Engineering Collaboration: Partner with the Platform Engineering team to design a scalable data platform, ensuring seamless data ingestion and orchestration.
  • AI Transformation: Lead the transition into the AI Analytics Era by integrating modern AI based tooling into the data workflow, automating routine insights, anomaly detection, and natural language querying for stakeholders.
  • Tooling Optimisation: Evaluate and deploy AI-assisted engineering tools to maximise the team's "time-to-insight" and minimise manual ETL overhead.
  • 6. Transition to Business Partnership

  • Model Evolution: Lead the structural shift from a reactive "service" model to a proactive "business-partnering" framework. Move the team beyond fulfilling ad-hoc reporting requests toward embedded strategic collaboration.
  • Predictive Integration: Champion the use of predictive analytics and machine learning to drive business outcomes. Instead of just measuring past performance, empower departments (Sales, Marketing, Ops) with predictions, forecasting to guide their daily decision-making.
  • Value Attribution: Partner with functional leads to define KPIs that measure the impact of data insights on the P&L, ensuring the data team is viewed as a value-generator rather than a cost center.
  • ⭐ What makes you a great fit?

  • Strategic Data Leader: You have a proven track record of scaling data teams and transforming them from reactive reporting units into proactive business partners.

  • Product-Minded Thinker: You don't just build pipelines; you treat data as a product, focusing heavily on user adoption, self-service, and clear business outcomes.

  • AI & Modern Stack Visionary: You are deeply familiar with the modern data stack and know how to practically integrate AI tools to automate routine analytics and accelerate engineering.

  • Change Agent & Educator: You possess the empathy and communication skills needed to up-skill non-technical stakeholders and foster an experimentation-first culture.

  • P&L Mindset: You excel at bridging the gap between deep technical architecture and executive-level business value, ensuring data investments drive financial impact.


  • Why you’ll love us:
    You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
     
    What's in it for you?*

    🏠 Remote Flexibility: The freedom to work from home any day that works for you.

    🌴 Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August..

    💊 Alan Health Insurance: Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.

    😋 Meal Perk: €150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.

    💸 Tax-Free Savings: Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).

    🖥️ Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.

    🇪🇸 Language Learning: Free Spanish classes.

    🤑 Referrals: Cash rewards for bringing in new talent. 

    🌟 Social Life: Daily office breakfast and monthly team events

    🎯 Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.

    *Benefits offered may differ based on the type of contract that is issued

     

    So, what are you waiting for? Apply now!

    All applications and CVs must be submitted in English 😉

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