Kate Sargent
Chief Data Officer @Financial Times
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WORK HISTORY
Chief Data Officer @Financial Times
London, GB
Accountable for the end-to-end data delivery and value realisation through building a scalable data and AI capability that supports the growth of the FT and enables their Product strategy. Leading a global team of c.80 data, analytics and AI professionals.
EDUCATION
University of Southampton
BSc Maths with Geography/MSc Operational Research
SKILLS
ABOUT KATE SARGENT
The golden thread which runs throughout my career, including time at easyJet, Tesco, Ocado, Sky and TUI, is driving a step-change in the extent to which an organisation embraces and creates commercial benefit from its data asset, whilst embedding a skilled, highly committed, and diverse data, analytics and AI function that is net value-adding.Typically, I support Boards that are challenged by one or more of the following:• A notion that their data could add more value but it’s hard to find and/or not well socialised.• A one-size fits all CX with pain points that are poorly understood or that remain unaddressed.• Poorly aligned reporting across the business and/or a lack of trust in the data.I have a proven ability to track and measure the £ benefit from the build and application of data products and extensive experience working at C-suite level to influence change. A focus on Data / the customer was explicitly added as a company-level strategic pillar within my two most recent organisations.With consistent success at leading teams of different sizes, compositions, and disciplines, I\'m also a firm believer in the value of a strong leadership, linked to the organisational strategy, that drives genuine engagement, improved productivity, and accelerated career development. I\'ve driven consistent YoY company out-performance of employee engagement and retention scores through my contemporary, enablement- and person-focussed leadership style- Strategy definition and execution- Leadership, coaching and mentoring, capability, and career development- Deep-dive customer and marketing analytics, segmentation, loyalty and value modelling- Customer research- Data science, ML & AI to enable product development and personalisation- Experimental design and measurement- Business intelligence / dashboarding- Data platform design and high-level architecture- Data & AI Governance and Ethics- Data Literacy and Culture development.
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