
Senior data and AI leader with experience delivering enterprise data strategy, business intelligence, data quality, advanced analytics and applied AI within complex, regulated organisations. Currently serving as Vice President – Client Data Integration & Analytics at Barclays UK, leading a global insights workstream spanning 4 business areas, 8 functional domains and 20+ stakeholder groups. Combines strategic leadership with hands-on technical capability across Python, SQL, machine learning, Generative AI, AWS Bedrock, Amazon SageMaker, Teradata, BigQuery, Hadoop, Hive/Impala, Power BI, Tableau and Excel. Experienced in translating complex data challenges into practical business solutions, partnering with Technology, Data, Risk and Operations stakeholders, and building trusted data foundations for analytics and AI adoption. Track record of delivering measurable business outcomes, including 13% faster reporting, 32 hours of weekly time savings, a 20% reduction in reporting errors and a 15% improvement in Net Promoter Score. Experienced in leading teams of up to 24 directly and programmes impacting up to 200 people indirectly, with a strong record of innovation, stakeholder influence and data-driven transformation.
BLUE RUBIK | GENERATIVE AI COMPLAINTS CLASSIFICATION & ROUTING
Co-created a Generative AI proof of concept using Amazon Bedrock and Amazon SageMaker to improve complaints classification and routing., Designed the solution to address incorrect complaints categorisation and routing, with an estimated potential saving of approximately 72 hours of manual effort per week., Recognised with the Best Regional Presentation award for the solution.
TICKET HERO | AI-POWERED IT INCIDENT MANAGEMENT
Co-created an AI-powered IT incident management solution designed to address incorrect incident routing and categorisation., Developed the concept to improve SLA performance and colleague experience for a potential user population of 4,000+ colleagues.
PROJECT GOLDEN | DATA CLUSTERING & GOLDEN RECORD CAPABILITY
Led a team of 3 interns to design and deliver an in-house proof of concept for client data clustering and golden-record creation across 5 data sources and approximately 10 million records., Addressed a data environment in which approximately 62% of records were identified as duplicates, developing capability to improve data accuracy, entity matching and survivorship decisions., Developed an organisation-owned capability to reduce dependency on external vendor tooling and improve control over data quality and survivorship logic., Facial Emotion Detection | Built a computer vision model to detect facial emotions using artificial neural networks, convolutional neural networks and deep learning techniques., Street View Housing Number Digit Recognition | Developed a neural-network-based model to recognise digits from street-view housing imagery., FoodHub Order Analysis | Analysed food aggregator order data to identify trends and insights using exploratory data analysis, data visualisation and statistical analysis.
Enterprise Data & Analytics Leadership | Data Quality Improvement | AI Enablement | Data Governance | Insight Maturity | Stakeholder Management | Agile Delivery | Team Development | Innovation | Executive Communication