Head of Data
New
L
LabhouseMobile apps
Remote work from anywhere in Spain.Full-TimeDirector
Salary not disclosed
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Job Details
- Languages
- Good level of spoken and written English
- Experience
- 7+ years of experience in data roles, including at least 2 years leading data teams
- Required Skills
- SQLSnowflakeTableauProduct AnalyticsBigQueryLooker
Requirements
- Hold a degree in a quantitative or technical field, such as Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, or Economics.
- Have 7+ years of experience in data roles, including at least 2 years leading data teams.
- Have a proven track record of building a data function from scratch or scaling one in a fast-growing environment.
- Bring strong SQL skills and a solid grounding in statistics and experimentation.
- Be fluent in product and subscription metrics, including retention, conversion, ARPU, LTV, and CAC.
- Have hands-on experience with analytics and BI tools such as Amplitude, Mixpanel, Looker, or Tableau.
- Know modern data stacks such as BigQuery, Snowflake, dbt, and Airflow, as well as event pipelines, GCP or AWS, and data modeling.
- Understand data engineering practices including data quality testing, observability, and cost optimization.
- Have hands-on knowledge of GDPR, ePrivacy, lawful bases, consent management, data subject rights, retention policies, and privacy impact assessments.
- Have implemented privacy practices such as consent management platforms, pseudonymization, anonymization, access controls, and mobile SDK tracking governance.
- Have experience working with legal teams, DPOs, or external advisors and managing third-party vendors from a data-protection perspective.
- Use AI tools in your workflow and understand their privacy implications.
- Communicate clearly in spoken and written English.
Responsibilities
- Define the data strategy and roadmap across analytics, platform, and privacy.
- Own the metrics framework across apps, including activation, retention, monetization, LTV, and CAC.
- Build dashboards, forecasts, and reporting for product, marketing, and leadership.
- Analyze user behavior, funnels, onboarding, paywalls, and pricing, and turn findings into prioritized product recommendations.
- Support new app launches with early-signal analysis and validation.
- Architect and evolve the data platform, including event tracking, ingestion, warehouse, transformation, orchestration, and BI tooling.
- Ensure data reliability through monitoring, testing, lineage, documentation, and dataset ownership.
- Own data privacy and compliance, including consent management, data subject requests, retention, deletion, and records of processing.
- Define data security and access controls, manage third-party vendors and SDKs, and prepare for audits and certifications.
- Build and lead the data team, and drive the use of AI tools and automation within data-protection guardrails.
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