Describe your career to date
At 31 years old, I’m super lucky to have had a whirlwind of a career to date, with the last 6 focused exclusively on data. I have worked for small and large, slow and crazy, thriving and struggling organisations, met exceptional people, had amazing mentors, and learned a lot from them.
I joined THG as a customer scientist when there was no data strategy, data infrastructure or centralised data function to support this type of work. Over three years, I centralised, attracted, structured, and led a global workforce of 40+ colleagues across machine learning, experimentation, data engineering and BI as the head of data science. This team commercialised data products like anomaly and cyber-attack detection, micro-segmentation and personalisation, product and customer embeddings, advanced image search, fraud detection and natural language processing.
I then moved from the science to the engineering side, joining Pets at Home in 2019 as the group head of analytics platform and data engineering. Here, I established the data platform, engineering and visualisation capabilities as part of the group’s wider “petcare analytics for all” vision. This new 45-plus strong function delivered a transformation programme, including a best-in-class cloud-native analytics platform serving an internal audience of over 15,000, associated CRM and customer service tooling, and the technical capabilities and data-driven processes required to power the organisation’s award-winning VIP loyalty scheme.
This uncommon mix of strategic, analytics and engineering expertise allowed me to join N Brown as the director of data in May 2022, reporting directly to the CEO, to lead and deliver the PLC and executive-board’s mission to “establish data as an asset to win”.
What stage has your organisation reached on its data maturity journey?
N Brown has been getting value out of data for over 150 years, but it was only recently that data has been elevated from an “enabler” to one of the company’s five strategic pillars. We now have a data strategy outlining how we will “establish data as an asset to win”, and we are at the start of this exciting transformation.
Tell us about the data and analytics resources you are responsible for
As part of the target operating model pillar of our data strategy, we have formed a central group data function spanning five core disciplines: data management, engineering, science, analytics and visualisation. This function sits alongside the rest of the C-suite (operations, finance etc), and the majority of our capacity (50-plus UK-based colleagues, with material growth planned through centralisation and new hires over the next three years) is spread across data-driven or data-enabled agile “squads”, with the heads of the respective disciplines acting as “chapter leads”. While people are central to our strategy, the significant financial and political capital required to deliver the planned transformation are also very important.
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