Data Director · Fintech

Data Leadership for Fintech Directors

You already know how to run a data team. What you need now is the Fintech context that makes your decisions land: how payment flows work, who the real players are (from neobanks to card networks), what PSD2, DSP2 or the AMF actually require from your models, and which figures matter when you report to the board. This platform builds that foundation alongside the core data track you'd expect: architecture, governance, analytics maturity, all of it.

You'll work through interactive tools built for financial data cases, follow an action playbook you can apply directly to your team's roadmap, and take a sector-specific assessment that tells you exactly where your gaps are. No generic case studies, no theory disconnected from your P&L. Just what a Data Director in Fintech needs to move faster and prove it.

Start the program

31 lessons · ~6 h · resumes where you left off

Your program

A focused program built on your vertical's content: the sector first, then your discipline applied to it.

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The generalist Data track

The full craft of the discipline, beyond your sector.

Explore the track

More resources

Interactive tools

Frequently asked questions

Who is Data Leadership for Fintech Directors actually for?

It targets people who already lead a data team and now work in payments, neobanking or another Fintech environment. The assumption is that you know architecture, governance and analytics maturity, and that what slows you down is the sector context: payment flows, regulation, market players. If you are looking for an introduction to the data profession, start with a generalist data track instead.

What is the difference between this and a generic data strategy program?

The core data content is the same in substance: architecture, governance, analytics maturity. The difference is that every case, every example and the final assessment are set in Fintech, so you work on payment flows and regulatory constraints rather than a retail or industrial example you then have to translate. Generic programs leave that translation work to you.

Do I get a diploma or a recognised certification at the end?

No. There is no diploma, no state-recognised certification and no affiliation with a school or university. Reading is free and open; creating an account only serves to save your progress.

Where should I start if I have just moved from another sector into Fintech?

Start with the sector assessment: it shows where your gaps sit between the data fundamentals you already have and the Fintech context you don't. From there, the regulatory and market-structure content (PSD2, the role of card networks, neobanks, the AMF) is usually the fastest way to close the distance, because it changes what your models are allowed to do.

What does the regulatory part cover, and does it replace legal advice?

It covers what PSD2 (DSP2 in French) and the AMF actually require from data models and data handling in a Fintech context, so you can anticipate constraints before your team builds. It is written for a data decision-maker, not a compliance officer, and it does not replace legal or regulatory advice on your specific setup.

How do the interactive tools and the action playbook fit into my team's roadmap?

The interactive tools are built around financial data cases, so you manipulate the same kind of inputs you see in your own reporting. The action playbook is designed to be applied directly to your team's roadmap rather than read once: you use it to decide what to build, in what order, and which figures to bring to the board.