Describe your career to date
After university, I was lucky enough to join a small (at the time) company called Dunnhumby which was doing exciting things with data, analytics and the fast pace of retail. It was a perfect match, and I was fortunate to be part of their explosive growth for the following 14 years.
My first role was as a customer data analyst (effectively what we’d now call a data scientist), where I cut my teeth on large retail datasets. In 2008, I relocated to Seoul to set-up Dunnhumby Korea as the analytics lead in a two-person team working shoulder-to-shoulder with Tesco. I spent the next nine years in Asia, two years based in China building and leading the region’s analytics teams, and then latterly as country head of the South Korea business.
When I returned to the UK, I joined Aviva to help step-change its customer analytics and data science capability. I lead a brilliant team of analysts, scientists, engineers, and product owners, using data to understand customers and help our business take better actions.
I feel so lucky to have a career in data, where I get to work with smart people and solve problems to make things better for customers. It’s highly rewarding.
What stage has your organisation reached on its data maturity journey?
We are very mature in many respects, given data is at the heart of insurance. Our next big step is to increase the speed-to-value from data. As a large, complex organisation, this is not always easy, but the reward is huge if we can get it right for customers.
Tell us about the data and analytics resources you are responsible for
I lead the “customer science” team, a multi-skilled team of almost 50 analysts, scientists, engineers and product owners, based in Hoxton, London. Our team purpose is to use data to understand customers and create better customer outcomes.
We are part of our chief data office, embedded in our customer and marketing function. This progressive structure brings together our data, digital, marketing and customer strategy teams to unite around creating customer value. My team doesn’t do the technical insurance analytics, but we collaborate closely with those other teams in our global data community that we call “Quantum”.
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