Luke has the distinct honor of being the first person to be listed in both the EMEA and US DataIQ 100 lists, having been included in the DataIQ 100 list for 2018. Under Luke’s leadership, TD picked up Best Responsible AI Program or Initiative at the 2025 DataIQ Awards North America. Luke’s inclusion in the top ten of the DataIQ 100 US reflects a successful blend of commercial leadership and deep data acumen that have been realized at scale. With a two-decade track record across banking and engineering, his influence spans advanced analytics, AI, and large-scale business stewardship. What sets Luke apart is his conviction that data should serve business relationships. He has built operating models that embed data into the rhythm of decision-making, enabling both colleagues and customers to benefit tangibly. In an era of rapid change, particularly with the rise of generative AI, Luke has positioned data as both a strategic compass and a cultural force.
I have had the privilege of leading large organizations for over 20 years with a career spanning both the banking and engineering sectors. My expertise resides in both advanced analytics and AI coupled with deep business acumen in retail and commercial banking, marketing, risk, and product development.
In addition to data, I have held large P&L roles within retail banking with direct responsibility for financial performance customer in portfolios of more than 10 million customers and $200 billion in deposits.
Currently, my responsibility involves delivering data evidenced solutions across our businesses, supporting our customers’ lives and goals and helping our colleagues deliver the best for our customers.
I believe data leaders exist to support our business partners in bringing out-sized value to our customers and colleagues. Having the business relationship at the center of everything we do is how we have designed our operating model and management routines.
The world of data, analytics and AI is changing rapidly, and we have to grow and adapt. I have a duty of care not only to my team, but the entire bank, to educate effective use of data. In that respect, much of my role is about education and finding opportunities. That only increases with genAI and integration in to processes and servicing our customers at pace.
Tied with supporting our colleagues is focusing on our customers, I maintain that everyone in my team is customer-facing, in that our work impacts the customer experience directly. Our goal is to deliver results that are fair, safe and transparent for our colleagues, customers and the communities we serve. While the data and AI landscape will change, we will remain focused on the colleague culture, customers, and our north star.