About Xabier
English
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Spanish
Native or bilingual
Experience
- Energy Utility - ConfidentialGlobal Head of AI & Data (Architecture & Technical Governance)May 2024 - Today (2 years and 1 month)• •Scope: Azure/AWS multi-cloud | regulated, multi-country environment | 100M+ end customers.• • Delivered €XXM/year in value (new value + efficiencies) by industrializing GenAI adoption across Azure &AWS, moving 60+ use cases into production via platform patterns and architecture governance adopted as the enterprise baseline.• • Reduced platform provisioning and enablement lead time from 8 weeks to <2 weeks by standardizingCI/CD and ML/LLM platform foundations (MLflow conventions, delivery templates, feature store building blocks).• • Cut team onboarding time by 70% by standardizing reference architectures, templates, and execution patternsacross teams and vendors.• • Lowered cloud costs by 22% by enforcing FinOps controls and standard resource patterns (cost attribution, quotas/rate limits, and consumption guardrails) across AI workloads.• • Achieved ISO/IEC 42001 audit readiness (externally validated) by engineering Responsible AI governance as platform foundations (policy-as-code, evaluation gates, traceability, evidence-by-design) aligned with EU AI Act.• • Tech stack: Azure, AWS, Databricks, MLflow, vector search patterns, Terraform, Python.
- Energy Utility - ConfidentialGlobal Cloud & AI Architect (Generative AI)ENERGY AND UTILITIESApril 2023 - May 2024 (1 year and 1 month)• • Enabled 2,000+ internal users and 100+ initiatives by architecting and delivering a group-wide GenAIplatform MVP (vector search, prompt library patterns, CI/CD), reducing enablement time from months to weeks.• • Reduced platform fragmentation by standardizing RAG delivery via enterprise standards (retrieval contracts, evaluation, telemetry) embedded into reference architectures and delivery patterns.
- Energy Utility - ConfidentialGlobal Head of Technology — Smart SolutionsENERGY AND UTILITIESNovember 2018 - April 2023 (4 years and 5 months)• • Shortened sales-to-installation cycle time by 35% by leading systems architecture and AI-enabled automation patterns for smart home, solar, and EV charging platforms serving 6M customers.
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Education
- MSc in Artificial IntelligenceInternational University of La Rioja (UNIR)2024MSc in Artificial Intelligence
- Executive MSc in BusinessEOI Business School2013Executive MSc in Business