Frankfurt · Financial Services · Technology Transformation

Turning enterprise technology into measurable business value.

I help financial institutions lead complex technology transformation — across data, AI, cloud and enterprise architecture — with the clarity, discipline and judgement that senior decisions require.

10+ years
in financial services technology
Data · AI · Cloud
enterprise transformation
Frankfurt
European capital markets
Mission

Technology should earn its place in the business.

For more than a decade I have worked alongside financial institutions as they modernise the systems that run their business. My work sits where technology strategy meets delivery: helping leaders decide what to build, why it matters, and how to see it through. The measure of good technology work is not its sophistication. It is whether the organisation can serve its clients better, manage risk more confidently, and make decisions with data it trusts.

Current focus

Where my attention sits today

Data & AI transformation

Helping institutions move from experimentation to dependable, governed use of data and AI in day-to-day operations.

Enterprise data platforms

Designing platforms that treat data as a durable asset — discoverable, trustworthy and reusable across the organisation.

Making AI measurable

Connecting AI investment to outcomes leaders can defend: cost, risk, speed and the quality of decisions.

Cloud & enterprise architecture

Modernising core platforms in ways that reduce complexity rather than relocate it.

Leadership philosophy

How I approach the work

Outcomes before activity

Programmes are judged by what changes for the business, not by how much is delivered. I keep that distinction visible from the first conversation to the last.

Clarity before scale

Most transformation fails quietly, in ambiguity. I invest early in a clear problem, a clear owner and a clear definition of done.

Technology in service of the business

The best architecture is the one the organisation can operate, fund and understand. Elegance that no one can run is a liability.

Selected perspectives

A few pieces worth your time

Data & AI

Why Enterprise AI Needs Better Governance

10 February 20266 min read

Enterprise AI does not fail because the models are weak. It fails because organisations deploy them faster than they can govern them. Governance is the enabler, not the brake.

Cloud & Architecture

Cloud Transformation in Financial Services

11 September 20256 min read

Cloud in financial services is rarely a technology problem and almost always an organisational one. The institutions that succeed treat it as a change in how they operate, not just where they run.

Delivery & Operating Models

The Operating Model Is the Strategy

5 June 20255 min read

Strategy documents describe intent. Operating models decide what actually happens. When the two disagree, the operating model wins — every time.

Read all perspectives

Areas of expertise

What I bring to senior technology decisions

Data & AI

  • Data & AI transformation
  • Enterprise data platforms
  • Data products
  • AI governance & measurement

Technology strategy & architecture

  • Technology strategy
  • Enterprise architecture
  • Cloud transformation
  • Technology delivery

Financial services

  • Capital markets
  • Regulated environments
  • Operating models
  • Digital transformation
Speaking & advisory

Conversations with senior teams

I work with leadership teams through executive briefings, working sessions and workshops — helping them frame decisions on data, AI and transformation and align around a path forward.

See how I work with teams

Latest writing

Recent perspectives

Data & AI

Why Enterprise AI Needs Better Governance

10 February 20266 min read

Enterprise AI does not fail because the models are weak. It fails because organisations deploy them faster than they can govern them. Governance is the enabler, not the brake.

Data & AI

Data Products Beyond the Buzzword

14 January 20265 min read

The label ‘data product’ has become fashionable. The idea underneath it is sound — and demanding. It asks teams to treat data with the same rigour they would any product people depend on.

Data & AI

Making AI Measurable

2 December 20256 min read

The question every board eventually asks about AI is the hardest one to answer well: what did it change? Measuring AI honestly is less about dashboards and more about deciding what counts.

Newsletter

A quarterly note, worth the inbox space

Four times a year I share what I am seeing in data, AI and technology leadership across financial services — considered, practical, and free of noise.

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Advising senior teams on technology transformation.

If you are weighing a decision on data, AI, cloud or enterprise architecture, I am glad to think it through with you.

Get in touch