A technology leader focused on outcomes, not noise.
I help senior teams in financial services make difficult technology decisions well — and then see them through.
I am a technology and transformation leader based in Frankfurt, with more than ten years spent helping financial institutions deliver complex change. My work spans data and AI, enterprise data platforms, cloud and enterprise architecture — usually at the point where a difficult technology decision meets a real business need.
I have spent that time close to delivery: shaping strategy that can actually be executed, and executing in a way that stays true to the strategy. I work most often with senior technology and business leaders who need a clear view of the trade-offs in front of them and a dependable path through them.
I hold an Executive MBA from Frankfurt School of Finance & Management, and I care as much about how organisations decide and operate as about the systems they build.
What I hold to
Start with the decision
Before the architecture, the roadmap or the tooling, I want to understand the decision the business is trying to make better. Everything else follows from that.
Make the trade-offs explicit
Senior leaders are paid to choose. My job is to lay out the real options and their consequences clearly, not to hide complexity behind confidence.
Deliver in a way people can trust
Predictability compounds. Teams that deliver what they said, when they said, earn the room to take on harder problems.
Reduce complexity deliberately
Complexity is the quiet tax on every large organisation. I treat removing it as real work, not a by-product.
Leave the team stronger
The best outcome of any engagement is an organisation more capable of doing the next hard thing without me.
Technology is a means, held to a business end.
I do not believe technology transformation is primarily a technology problem. The hardest parts are usually clarity, ownership and the discipline to see decisions through. Tools change; those constraints do not.
So I try to keep the work honest: a clear problem, a defensible plan, measurable outcomes, and a candid account of what is working and what is not. That is what earns a seat in senior conversations, and it is what makes change last after the programme ends.
What I am exploring
- Governance models that make AI dependable without slowing teams down
- Data products as durable, owned assets rather than one-off deliverables
- Practical ways to measure the value of data and AI investment
- Operating models that let data and platform teams scale
- Modernising capital markets technology beyond simple cloud migration
Away from the desk
I read widely — mostly long-form non-fiction on economics, technology and how organisations work. I run along the Main to think, play a slow and stubborn game of chess, and spend time mentoring people earlier in their technology careers. Living in Frankfurt keeps me close to European financial services and, conveniently, to good coffee.