Alex Spanos is a strategic Head of Data & AI with 11 years’ experience building data platforms and ML-powered products across Fintech and startups, currently leading data at Stream from London. He has a track record of founding and scaling distributed teams (10+ FTE), delivering multi-geo enterprise data platforms, and driving post-M&A technical integrations and group-wide data governance. A Royal Statistical Society Chartered Statistician and Advanced Data Science Professional, Alex blends strong statistical rigour with practical engineering—having built dbt/Supabase stacks, production ML services, and LLM-driven RAG workflows. He’s known for turning transaction-level banking data into revenue-generating decision engines and for implementing extensive data testing and observability (1,000+ tests, scheduled quality pipelines). Notably, he moves fluently between product, engineering and science roles, having shipped Income and Spending APIs and co-founded new teams that bridged research to commercial data products.
11 years of coding experience
6 years of employment as a software developer
Erasmeios Greek-German School
Nanodegree Data Analyst, Nanodegree Data Analyst at Udacity
MSc Statistics, MSc Statistics at University of Leeds
MSc Applied Mathematical & Physical Sciences, MSc Applied Mathematical & Physical Sciences at National Technical University of Athens
Contributions:18 PRs, 66 pushes, 16 branches in 5 years 3 months
reactnextjs
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