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Building High-Impact Data Teams at Capital One

May 2, 2022

Dan Kellet, Chief Data Officer at Capital One UK, joins us to discuss how he scaled Capital One’s data team.

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Key Takeaways


To create a high-quality data team, organizations need to prioritize a consumer and end-user focus, technical excellence, and strong teamwork and communication across the entire team.


Putting strong governance processes in place throughout a machine learning model’s entire life cycle is vital to minimizing potential harm and keeping a strong relationship between stakeholders and AI governance.

Key Quotes

Data literacy is one of my key concerns. There's a real risk that you build a bit of an ivory tower, and if that's the outcome, then where we're not winning in my mind. So, the role of a CDO is to help people better understand data and to demystify both data and machine learning. I think the way to do that is to make it relatable, and if possible, to make it fun.

Empowering the organization to work with data is a key challenge for a lot of organizations, and definitely for us, as well. It's something that we spent a lot of time over the last year grappling with, and I think there are a few approaches to tackling this. First, I think you have to put training in place to equip those core coding skills and data knowledge. What we found historically is there's a real risk of bottlenecking because data analysts are seen as the only people that can get data or can pull information. That just creates tension and frustration everywhere, but if you can get some basic training in, that's probably going to serve 75% of your needs.

About Dan Kellet

Photo of Dan Kellet
Dan Kellet

Dan Kellet has worked with Capital One UK for almost 22 years and has served as the organization’s UK Chief Data Officer since June 2021. Dan leads a cross-functional team that is changing the way we do business. His team uses the latest distributed computing technologies and operates across many billions of customer transactions. The models and data products that they build unlock big opportunities for the business and help UK consumers save money and reduce friction in their financial lives.

Photo of Adel Nehme
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

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