May 2020 – Present · 5 yrs 10 mos · London, England, United Kingdom · On-site

• I lead the strategic analytical vision for Google Merchant Center, directing collaborative efforts across Mountain View headquarters, London, and Zurich to scale the digital infrastructure used by millions of global retailers. I am currently supporting the transition toward AI-native merchant ecosystems, ensuring the seamless connection between billions of product offers and hundreds of millions of shoppers.
• AI Innovation & Agentic Interfaces: Pioneering the measurement of agentic interfaces to automate complex merchant workflows, transforming how global retailers interact with Google’s ecosystem at scale.
• Strategic Influence: Lead the data-driven and AI-augmented decision-making processes that govern one of the world's most complex retail data environments.
• Cross-Hub Coordination: Bridge technical and product teams across three global headquarters to ensure a unified data and AI strategy that aligns regional nuances with core global objectives.
• Executive Stakeholder Management: Translate massive-scale data insights and AI performance metrics into actionable roadmaps for global product and engineering leadership.
• Internal AI Tooling: Directing the development of internal AI-powered analytical tools that accelerate decision-making and data discovery across a complex massive scale ecosystem.

Nov 2018 – May 2020 · 1 yr 6 mos

• Senior leadership reporting to Group Chief Data Officer and Group CIO. Led the development and implementation of the company's algorithms strategy.
• Delivered cost savings of approx 20M GBP with production machine learning algorithms across 1400 stores.
• Built the business’s first applied machine learning team, growing to 17 data engineers, product managers and data scientists with an operating budget of over 1M GBP
• Pioneered migration of technology teams from on-premises to AWS cloud

Jul 2015 – Oct 2018 · 3 yrs 3 mos

• Established the company's first Data Science team, setting up technology, engagement model, operating model and career paths.
• Partnered with cross functional teams to deliver data insights and cost saving solutions leveraging mathematics and machine learning.

Oct 2014 – Mar 2019 · 4 yrs 5 mos · London, United Kingdom

• Advising clients in navigating the complexities of data science, enabling them to effectively integrate data-driven approaches into their operations.
• Tailored training programs for founders and business leaders.
• Cultivated a diverse client base including UK Fast 50 AI companies, a prestigious luxury clothing retailer, a major credit card company, and a European events business.

Jun 2012 – Jun 2015 · 3 yrs · London, United Kingdom · On-site

• Led teams identifying multi-million dollar customer compensation and regulatory fines in complex data and regulatory environments for high street banks.
• Established Machine Learning technology proposition used globally across the firm, pitching to client senior leadership in the US and UK

Jan 2010 – Jun 2012 · 2 yrs 5 mos · London, United Kingdom · On-site

• Hired to manage the UK analytics team for a large multi-year forensic programme. Grew a team of 12.
• Delivered forensic analytics reporting on an African government for the IMF.
• Seconded to New York office to transfer skills to the local team for a global bankruptcy investigation.

May 2008 – Dec 2009 · 1 yr 7 mos · London, United Kingdom · On-site

• Led complex technical integration and pre-sales of a machine learning product for detecting fraud with social network analysis. UK retail banking and insurance clients