Summary
Vojta Kopal is a data and engineering leader with 14 years’ experience building and scaling cross-functional teams and data platforms, currently serving as Head of Data at Apify. He grew Mews’ data organization from zero to 35 people, launched a customer-facing BI product, and implemented a lakehouse-based platform (Azure Databricks, Delta Lake) that delivered 30+ data products to thousands of hospitality clients. Comfortable bridging technical execution and commercial strategy, he has run pricing, rollout and vendor management while embedding data roles into product squads to drive adoption. Trained in theoretical computer science (PhD track) with Harvard Business School Online credentials in strategy and leadership, he blends rigorous research instincts with practical product and operational discipline. Notably, his background spans frontend migrations, analytics engineering and mobile data processing—evidence of a rare full-stack data leader who still understands client-facing UX and engineering trade-offs.
14 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical Computer Science, Doctor of Philosophy (Ph.D.), Theoretical Computer Science at Charles University in Prague, Faculty of Mathematics and Physics
Other; Certificate in Strategy Execution, Complete, Other; Certificate in Strategy Execution, Complete at Harvard Business School Online
Master's Degree, Artificial Intelligence (exchange student), Master's Degree, Artificial Intelligence (exchange student) at Utrecht University
English, Czech, German