Alberto Garcia Hernandez
Sr Manager Data Scientist (Data Solutions & Ai Strategy) @Visa
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WORK HISTORY
Sr Manager Data Scientist (Data Solutions & Ai Strategy) @Visa
Strategic AI Leadership: Leading the European arm of a high-priority global transformation initiative in partnership with a top-tier strategic management firm. Directing a cross-functional AI Enablement stream of 30+ professionals to unify the global AI roadmap and regional scaling- Agentic AI Architecture: Orchestrating the integration of proprietary high-volume financial datasets into GenAI portals, mapping complex advisory workflows to Agentic deployments and human-in-the-loop protocols to ensure enterprise-grade reliability in regulated insights- Industrialised MLOps: Architected a standardized on-prem \"AI Factory\" that reduced the delivery lifecycle for data products, eliminating technical debt and standardizing the transition from experimentation to production- Governance & Compliance: Serving as the technical lead for EU AI Act and GDPR alignment, managing complex approval cycles to unblock mission-critical AI products in sensitive, secure-environment data architectures.
EDUCATION
University of Washington
International Exchange, Computer Engineering
University of Navarra
Master of Science, Executive Big Data Science
Universidad Carlos III de Madrid
Dual BSc. Computer Science & Business Administration, Computer Science
University of Warwick - Warwick Business School
International Exchange, Finance and Investment Management
ABOUT ALBERTO GARCIA HERNANDEZ
I build and scale AI systems that turn complex research into real business impact in financial services. Currently, I lead EU representation in a high-priority GenAI initiative at Visa, shaping the global AI strategy in partnership with a Tier-1 consultancy. My work focuses on transforming traditional consulting workflows into scalable, production-ready Agentic AI systems that operate within highly regulated environments. Across Visa and BBVA, I’ve specialized in designing and deploying “AI Factories”, standardized MLOps platforms that accelerate the journey from idea to production. These systems have reduced delivery cycles by up to 90% and enabled measurable business outcomes, including €10M+ in capital optimization and new revenue opportunities through advanced analytics. I focus on building AI that works in the real world: not prototypes, but production systems that deliver results. What I bring to the table: AI Leadership: Leading cross-functional teams (30+) to deliver and scale AI products AI Systems: Designing Agentic AI and RAG-based architectures (co-author of vRAG-Eval) Production & MLOps: Building scalable pipelines for deploying ML and LLM systems Regulation: Delivering AI under GDPR and EU AI Act constraints in FinTech environments
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