Summary
Valentin Panovskiy is a data and AI leader with nine years of experience bridging academic research in optimization and nonlinear programming with large-scale industry data platforms. Currently Managing Director (Data & AI) at SberHealth, he leads ~40 people across DWH, product analytics, and ML/Ops while delivering a company-wide digital twin and accelerating AI adoption. He has repeatedly built and scaled data platforms and strategies as CDO/Head of Data at multiple fast-growing enterprises, designing orchestration, governance, and MLOps ecosystems using tools like Dagster, DBT, DVC/MLflow and Trino/ClickHouse. Valentin combines formal PhD-level expertise in mathematical modelling and meta-heuristics with hands-on engineering in Python, SQL and cloud-native infrastructure, enabling rigorous applied research to reach production. He also teaches linear algebra and optimization, keeping a foot in academia that informs his pragmatic approach to complex business problems. Outside work he balances data science with an amateur’s eye for photography, reflecting a curiosity for new perspectives.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at Moscow Aviation Institute (National Research University)
Russian, English