About Pol
Catalan
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Experience
- ScopelyDir., Analytics Engineering - Monopoly Go!ENTERTAINMENT AND LEISUREOctober 2024 - April 2026 (1 year and 6 months)Barcelona, Spain• ● Led the evolution of a large, business-critical data platform from "working" to reliable, scalable, and AI-ready.• ● Re-architected analytics around domain ownership, reducing dependencies and improving reliability and accountability.• ● Redesigned data consumption using Hex, cutting exploratory analysis effort by 30–70% and increasing self-serve decision support.• ● Implemented data observability as an operating model, shifting teams from reactive incidents to proactive reliability.• ● Introduced structured use of GitHub Copilot to scale documentation, testing, and semantic models with system growth.• ● Built the foundations of a Context Warehouse, preparing structured data, metadata, semantics, ownership, and usage signals so LLMs can operate with high-confidence outputs and low hallucination risk.• ● Acted as a bridge between data, product, and leadership to align AI and data investments with business priorities.
- Arex MarketsHead of Data AnalyticsOctober 2020 - October 2021 (1 year)• ● Built the data team and data architecture from scratch in a fintech environment, supporting both operational and strategic decision-making from day one.• ● Defined initial data foundations to support OKRs, risk analysis, and commercial performance in a highly ambiguous, fast-paced context.• ● Partnered closely with leadership to translate business questions into actionable, decision supporting outputs, balancing speed, reliability, and evolving business needs.
- ScopelySr. Manager → Dir., Analytics EngineeringENTERTAINMENT AND LEISURENovember 2021 - October 2024 (2 years and 11 months)Barcelona, Spain• ● Built the analytics engineering function from scratch to support executive and operational decision-making.• ● Reduced analyst time spent on static reporting by ~60%.• ● Led early applied GenAI initiatives (news digestion, trend extraction, Slack-based analytics access) focused on real productivity gains.• ● Drove GenAI adoption through hands-on experimentation and enablement, avoiding top-down or fear-based approaches.
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Education
- dbt Fundamentalsdbt Fundamentals
- GCP Data EngineerGCP Data Engineer