Nick Sharp
Director of Data & Technology @Confused.com
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WORK HISTORY
Director of Data & Technology @Confused.com
Cardiff, GB
Responsible for driving the collective data and digital vision, strategy and execution across Confused.com and wider RVU Group.Lead the RVU Group\'s largest data and technology function, ensuring excellent high performing people, culture and ways of working.Accountable for the Confused.com data platform and identifying opportunities to grow the Group\'s data across our biggest product lines. Developed and launched a series of Data and AI services on Azure Databricks.Co-led a new unique customer-led proposition, that was grounded in a detailed understanding of what the consumer wants and alignment of talent across product, technology, data and analytics to meet this need.Driving the data science capability as an enabler for marketing and product development and optimisations.Develop, evaluate and implement new working approaches and methodologies to drive continuous improvement across people, process, data, technology and services.Provide effective strategic data direction across the Group.
EDUCATION
Cardiff University / Prifysgol Caerdydd
Bachelor of Science (BSc)
Oxford Brookes University
FdSc
SKILLS
ABOUT NICK SHARP
As the Director of Data & Technology at Confused.com, part of the RVU Group, I oversee the Group\'s largest data and technology function, ensuring the alignment of people, culture, and strategy for optimal performance. With over a decade of experience, I have been instrumental in developing and launching Data and AI services on Azure Databricks, which have enabled enhanced marketing, product optimisation, and customer insights. By co-leading a customer-centric proposition grounded in consumer needs, I have driven cross-functional collaboration across product, technology, data, and analytics. I remain committed to advancing data-driven innovation and delivering impactful solutions that align with our collective vision and strategy. My expertise lies in transforming data platforms, scaling AI capabilities, and fostering high-performing teams to create meaningful business outcomes.
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