Kate Sargent is Chief Data Officer at the Financial Times, where she leads the organisation’s data, analytics, and AI strategy with a focus on value creation, trust, and capability building.
She studied mathematics and operational research before a chance analyst role at National Air Traffic Services introduced her to data science and analytics. From that point, Kate built her career across a series of well-known consumer organisations including easyJet, Tesco, Ocado, Sky, and TUI. With each move, she broadened the scope of her responsibilities, grew larger teams, and developed a deep understanding of how different organisational cultures operate and how to influence a wide range of stakeholders.
In 2020, Kate took on her first director role at Collinson Group, a travel services organisation, at the onset of the pandemic. She led the Data and Analytics function through a period of significant disruption, establishing it as a core pillar of the corporate strategy and later progressing to Senior Vice President of Data and Analytics.
Kate became Chief Data Officer at the Financial Times in 2023, as generative AI began to reshape the industry. She is responsible for developing and executing a value-led data and AI strategy, leading the FT’s AI transformation, and setting the organisation’s approach to AI governance and ethics. A central part of her remit is building data and AI literacy across the business, ensuring teams can use emerging technologies confidently, responsibly, and in service of editorial and commercial objectives.
As a data and AI leader, which traits and skills do you think matter most, and which of those have been most influential for you in your current position?
“I’d say adaptability, persistence, and clarity of communication are particularly important.
“The data and AI leadership role has to span all parts of the business in order to be fully effective, so its holder’s ability to adapt and flex to the needs of diverse areas of the business – often from one interaction to the next, speak their language, understand their needs, and how they may be able to benefit from and contribute to the organisation’s data asset – is absolutely key
“Naturally, some parts of the business will feel closer to the opportunity than others, so the ability to build partnerships to continue to explore this potential over time is much needed.
“Finally, being able to convert the often-abstract language of data and analytics into engaging insights and also into recommendations and language that makes the business opportunity clear and compelling is where the value potential is really unlocked.
“We’ve seen the value of clear communications really come to life this year at the Financial Times through regular proactive analytics and research set-piece summaries that highlight sometimes unexpected insights with the potential to influence our business strategy to a meaningful extent.”
Reflecting on your career, what is one non-traditional piece of advice (outside of technical skills) you would give to an aspiring data or AI leader aiming for the C-suite?
“The one piece of advice I’d give is to establish data and AI as a strategic differentiator, rather than as a service, from the outset. It’s easy to get busy delivering what is being asked for but the opportunity is to get into the conversations that frame the questions being asked in the first place.
“The data and AI leadership role is a great vantage point from which to establish a bird’s eye view of the most important drivers of organisational performance. From there, I believe that we have somewhat of a responsibility to influence the most important conversations to be had within the C-suite.
“I’d try not to miss the opportunity to do this early on, even if it means a reset of pre-existing expectations.”