

Dee is a data and AI transformation leader with extensive experience driving enterprise-scale analytics, technology modernisation, and business change. Known for building data-driven organisations, advancing AI adoption, and connecting strategy, innovation, and measurable business outcomes.
Dee focuses on enterprise AI adoption, data modernisation, analytics transformation, responsible AI, data-driven business strategy, technology leadership, sustainability initiatives, and the future of data and analytics in consumer goods organisations.
Meet ๐๐๐ ๐ ๐ข๐ญ๐ณ๐ ๐๐ซ๐๐ฅ๐: The strategic trailblazer driving data-led transformation at a massive global scale. As the ๐๐ & ๐๐๐๐ ๐จ๐ ๐๐๐ญ๐ & ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ (๐๐๐) ๐๐ญ Danone, Dee focuses on enabling a truly data-driven business by leveraging trusted data to generate meaningful insights. She effectively pairs fierce technical capability with strong business acumen.
Beyond the boardroom, Dee is a highly regarded industry evangelist & community leader. An active member of the Evanta, a Gartner Company ๐๐๐๐ ๐๐จ๐ฏ๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐๐ฒ, she frequently guides executive strategy through peer-to-peer collaboration. She is a prominent speaker on the international circuit, recently taking the stage at major industry panels like ๐๐ก๐จ๐ฉ๐๐๐ฅ๐ ๐๐๐๐ & the upcoming Databricks ๐๐๐ญ๐ + ๐๐ ๐๐ฎ๐ฆ๐ฆ๐ข๐ญ, where she actively deconstructs multi-agent enterprise frameworks, business resilience, & the human side of artificial intelligence.
๐ ๐๐ก๐ ๐๐ & ๐๐๐จ๐ฉ๐ฅ๐ ๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ
Deeโs leadership approach is anchored in driving real-world utility for everyday teams. At Danone, she champions data literacy for a ๐ ๐ฅ๐จ๐๐๐ฅ ๐ฐ๐จ๐ซ๐ค๐๐จ๐ซ๐๐ ๐จ๐ ๐จ๐ฏ๐๐ซ ๐๐,๐๐๐ ๐๐ฆ๐ฉ๐ฅ๐จ๐ฒ๐๐๐ฌ; heavily focusing on training & upskilling front-line & factory staff on how to prompt effectively. She famously advocates that while AI handles a massive portion of the operational heavy lifting, the human remains the ultimate decision-maker responsible for landing actual business value.
๐ก ๐ ๐๐๐ ๐๐๐ฒ ๐จ๐ ๐๐ฅ๐จ๐๐๐ฅ ๐๐๐๐ฅ๐
During her landmark near-two decades at Unilever, she served as the operational backbone for the analytics organisation, managing a massive โฌ30M global portfolio spanning over 200 initiatives. Whether orchestrating the data architecture for complex multi-market supply chains or leading massive technical integration teams through major M&As, her execution defines operational excellence.
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What sets Dee apart is her deep, practical comfort with the underlying tech stack. Far from just a high-level executive, she possesses robust hands-on expertise in data design, ETL pipelines, & cloud ecosystems. This rare blend of tech-stack fluency & corporate strategy allows her to easily translate scattered capabilities into cohesive, user-centric data products.
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