Designed a lightweight governance model that balances experimentation with risk controls.
Impact: Reduced model approval time by 40% while maintaining compliance.
Data & AI Leadership
Head of Data Management, Raiffeisen Bank
I lead data strategy, governance, and platforms across 40+ teams—moving analytics and GenAI from pilots to production with measurable outcomes.
Enterprise-wide, I established the bank’s metadata architecture and operating model—standardizing data context to accelerate automation, improve analytics reliability, and scale adoption of AI agents across 200+ teams.
Focus areas
Designed a lightweight governance model that balances experimentation with risk controls.
Impact: Reduced model approval time by 40% while maintaining compliance.
Built a cross-functional data platform that powers marketing, product, and finance.
Impact: Enabled $12M in incremental revenue through personalization.
Launched a secure internal GenAI suite with copilots for research and analytics.
Impact: Saved 18,000 analyst hours annually.
Jan 5, 2025
How to translate data investments into confident, repeatable decisions at the leadership level.
Nov 15, 2024
Lessons from rebuilding analytics stacks to hit reliability, speed, and trust goals.