Summary
Georgiy Vinogradov is a data and analytics leader focused on Medical AI and innovations, with a decade of experience building enterprise data governance and cloud data platforms in life sciences. At Novartis he raised DCAM maturity from the mid-3s to 5.0, scaled a $20M Snowflake hub across 60+ markets and integrated 250+ sources to deliver AI-ready, FAIR-compliant data products. He designs federated operating models for metadata, data quality and self-service analytics, driving platform reliability (99.9% uptime) and automated CI/CD for rapid, low-risk releases. Georgiy pairs technical delivery—Snowflake, Databricks, AWS, Collibra, Ataccama and Immuta—with strong cross-functional governance, embedding privacy and GxP/GDPR controls into analytics. He also brings entrepreneurial empathy from founding a cancer-support app recommended for patient referral, reflecting a rare blend of product-first thinking and regulatory-savvy engineering. Based in Basel with advanced training in modern data analysis and a PhD background in economics and management, he excels at turning complex regulated data ecosystems into fast, trustable insight pipelines.
8 years of coding experience
6 years of employment as a software developer
Specialization degree, Economic and management, Specialization degree, Economic and management at Gubkin Russian State University of Oil and Gas (National Research University)
Modern Methods of Data Analysis, Modern Methods of Data Analysis at National Research University Higher School of Economics (HSE)
Русский, Английский