Data Director · Banking
Data Leadership Training for Banking Directors
You already know how to run a data function. What you need here is the banking context: how retail and corporate banking actually make money, who the players are, what Basel III and GDPR mean for your pipelines, and which figures your CFO and regulators watch. That's what this track gives you, built around the sector rather than generic theory.
Alongside these sector foundations, you get the full data curriculum: governance, architecture, analytics, AI use cases, taught with banking examples throughout. Interactive tools let you model decisions before you make them, the action playbook gives you templates you can bring to your next steering committee, and the assessment tells you exactly where your team stands against peers in the sector.
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.
The generalist Data track
The full craft of the discipline, beyond your sector.
More resources
Interactive tools
Frequently asked questions
Who is this banking data track for?
It is built for data directors and heads of data working in retail or corporate banking, people who already run a data function and need the sector layer around it. If you are new to data management, the curriculum still covers governance, architecture and analytics from the ground up, but the examples assume a banking environment.
What's the difference between this and a generic data leadership program?
The subject matter is the same discipline, the framing is not. A generic program teaches governance and architecture in the abstract; this one starts from how retail and corporate banking make money, who the players are, and what Basel III and GDPR impose on your pipelines. Every lesson in the data curriculum uses banking examples rather than neutral ones.
Is access free, and do I get a certificate at the end?
Reading is free and open, with no certificate, diploma or state-recognised qualification attached. Creating an account only saves your progress so you can pick the curriculum back up where you left it.
Where should I start if I have banking experience but a thin data background?
Start with the data curriculum itself, governance and architecture first, since the sector foundations will already be familiar to you. Reverse the order if you came into banking from tech or another industry: read the sector modules on retail and corporate banking economics before touching the technical material.
What does the assessment actually measure?
It positions your team's data maturity against peers in banking rather than against a generic industry average. The output tells you which areas of governance, architecture, analytics and AI readiness are ahead and which are behind, so you know where to spend the next budget cycle.
Can I use the playbook material directly in a steering committee?
Yes, that is what the action playbook is for: templates and structures you can bring into your next steering committee without rewriting them. The interactive tools serve a different purpose, letting you model a decision, such as an architecture or AI use case trade-off, before you commit to it.