Head of Data

Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model.

Based in Barcelona, Labhouse was founded by Andrés Bou and Horacio Martos (Co-Founders of SocialPoint).

We operate at the intersection of mobile technology, AI, and product-driven growth, with a strong focus on experimentation and performance.

Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below.

About the Role:

As our first Head of Data, you will own two sides of the same mission: turning data into product decisions, and making sure the way we collect, store, and use that data is secure, compliant, and trusted by our users. You will lead analytics and experimentation on one side, and the data platform, privacy, and compliance on the other, and be the data partner of our founders and product leadership across our app portfolio.

This role suits someone who is equally comfortable defining a retention metric and designing a consent flow: you set the vision, build the foundations, hire and grow the team, and still roll up your sleeves when an answer is needed fast.

Responsibilities:

• Defining the data strategy and roadmap across analytics, platform, and privacy

• Owning the metrics framework across our apps: activation, retention, monetization, LTV, and CAC

• Building dashboards, forecasts, and reporting that product, marketing, and leadership actually use

• Analyzing user behavior and funnels, onboarding, paywalls, and pricing to uncover drop-offs and root causes, and turning them into prioritized recommendations for the roadmap

• Supporting the launch of new apps with early-signal analysis and validation

• Architecting and evolving our data platform: event tracking, ingestion, data warehouse, transformation layer, orchestration, and BI tooling, with a focus on quality, scalability, and cost

• Ensuring data reliability: monitoring, testing, lineage, documentation, and clear ownership of core datasets

• Owning data privacy and compliance across all our apps: GDPR, ePrivacy, and other applicable regulations, including consent management, data subject requests, retention and deletion, and records of processing

• Embedding privacy by design and data minimization into how we track events, run experiments, and work with AI features, in partnership with product and engineering

• Defining data security and access controls, and managing third-party vendors and SDKs (analytics, attribution, ad-tech, AI providers) through data processing agreements and risk reviews

• Ensuring our measurement and tracking setup meets Apple and Google platform requirements and preparing the company for audits and certifications such as ISO 27001 or SOC 2

• Building and leading the data team, setting hiring standards and growing talent

• Driving the use of AI tools and automation to speed up analysis, research, and reporting, within clear data-protection guardrails

About You:

Academic background:

• Degree in a quantitative or technical field: Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or similar

Technical expertise:

• 7+ years of experience in data roles, including at least 2 years leading data teams, ideally in a consumer app or subscription business

• Proven track record of building a data function from scratch or scaling one in a fast-growing environment

• Strong SQL and a solid grounding in statistics and experimentation

• Deep fluency with product and subscription metrics such as retention, conversion, ARPU, LTV, and CAC

• Hands-on experience with analytics and BI tools (for example Amplitude, Mixpanel, Looker, or Tableau)

• Solid knowledge of data infrastructure: modern data stacks (for example BigQuery, Snowflake, dbt, Airflow), event pipelines, cloud platforms (GCP or AWS), and data modeling

• Understanding of data engineering best practices: data quality testing, observability, and cost optimization

• Strong, hands-on knowledge of data privacy and compliance: GDPR and ePrivacy, lawful bases and consent management, data subject rights, retention policies, and privacy impact assessments

• Experience implementing privacy in practice: consent management platforms, pseudonymization and anonymization, access controls, and tracking governance across mobile SDKs

• Experience working with legal, DPOs, or external advisors, and managing third-party vendors from a data-protection perspective

• A product mindset: you don't just report the numbers, you ask why and recommend what to do next, and you see compliance as something that enables the product rather than blocks it

• High ownership, curiosity, and a bias for action

• Comfort working directly with founders and leadership in a fast-paced environment

• Strong use of AI tools to speed up your own workflow and your team's, with awareness of the privacy implications of AI

Communication:

• Good level of spoken and written English

• Clear, structured communicator who can turn complex data into simple stories and recommendations

Nice to Have:

• Experience in mobile apps, subscription products, or growth teams

• Experience with mobile attribution and measurement tools (for example AppsFlyer, Adjust, or RevenueCat)

• Experience leading ISO 27001 or SOC 2 certification, or similar audits

• Knowledge of the EU AI Act and responsible AI practices

• Privacy or data protection certifications (for example CIPP/E or CIPM)

• Experience supporting 0-to-1 product launches

• Experience working closely with founders or in startup environments

What we Offer:

• Remote work from anywhere in Spain. If you are based in Barcelona, we would love for you to join us at the office (Barcelona Tech City) at least two days a week.

• Flexible working hours.

• Competitive compensation

• High-end equipment for your development.

• Permanent contract with competitive compensation.

• A young and top entrepreneurial team in a dynamic startup environment.

• Opportunity to lead, grow, and take on big challenges.

• Work with cutting-edge technologies, including the chance to integrate AI models into new apps.

Hiring Process

1. TA Interview – Initial conversation to get to know each other and understand your background.

2. CTO Interview – Deep dive into your experience and fit with the team.

3. Technical Case – Practical exercise to assess your product, analytical, and strategic capabilities.

4. Final Interview – Final conversation to ensure alignment on expectations, culture, and role fit.

You should Know:

Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them. Come join us and help us build a company that everyone is proud to be part of.