Data and Information Services
Big data, big challenge, big opportunity
For nearly two decades, I've navigated the evolving landscape of data and information services, witnessing a seismic shift from siloed, on-premise systems to the dynamic, cloud-driven ecosystems we manage today.
When I began, data warehousing was the pinnacle of analytical capability, often requiring extensive, bespoke infrastructure and painstakingly crafted pipelines. Now, I'm focused on democratising data access through scalable, serverless architectures and platform products.
We've moved from batch processing and static reports to interactive dashboards and AI-powered insights, empowering users across organisations to make data-informed decisions in the moment.
This transformation hasn't just been about technology; it's been about a fundamental change in how we perceive and utilise information. The focus has shifted from merely collecting and storing data to deriving actionable intelligence.
We've seen the rise of data science, machine learning, and advanced analytics, all demanding a more agile and responsive data infrastructure. From building rigid, monolithic data products, we're now developing modular, API-first solutions that seamlessly integrate with diverse applications and workflows.
It’s fast, it’s ever-changing, and it sits at the heart of pretty much everything that we’d consider a successful product, technological solution, or scaled business today. That’s why I love it.
What I’ve built
I spent a year working with American Express in the US, working on Complex Data and Connected Information Services in order to connect billions of payments, the data points they contained, and industry’s appetite for insights and intelligence as a subscription.
What I’ve studied
I studied Artificial Intelligence at Saïd Business School. The six-week executive education program focused on both the commercial opportunities for, and the operational impact of, Artificial Intelligence, Machine Learning, and Deep Learning.