Daniel Wu

SVP of Business Intelligence and Data Science, REVOLVE

Professional Overview

Daniel Wu is an accomplished data and analytics executive with over a decade of experience driving business intelligence and data science initiatives in the retail industry. As the Senior Vice President of Business Intelligence and Data Science at REVOLVE, he leads a team of data experts in leveraging advanced analytics to uncover insights, improve decision-making, and drive strategic growth for the company.

Experience Summary

Current Role

As the SVP of Business Intelligence and Data Science at REVOLVE since March 2024, Daniel is responsible for overseeing the company's data strategy and leading a team of over 30 data scientists, analysts, and engineers. Under his guidance, the business intelligence and data science function has become a strategic partner for the executive leadership, delivering actionable insights that have enabled REVOLVE to enhance customer experience, optimize marketing campaigns, and improve operational efficiency.

Career Progression

Prior to his current role, Daniel served as the Vice President of Business Intelligence and Data Science at REVOLVE, where he spearheaded the implementation of a comprehensive data platform and introduced advanced analytical models to support data-driven decision-making. Before joining REVOLVE, he held the position of Director of Business Intelligence, during which he played a pivotal role in driving the company's digital transformation and leveraging data to inform strategic initiatives.

Earlier in his career, Daniel was the Head of Web Analytics at Wayfair, where he developed and executed data-driven strategies to enhance the online customer experience. He also has experience as a Lead Software Engineer in Business Intelligence at Cimpress, where he designed and built data infrastructure solutions to support the company's growth.

Academic Background

Daniel holds a Bachelor of Science in Computer Science from the University of California, Los Angeles (UCLA), where he graduated with honors.

Areas of Expertise

• Business intelligence and data strategy

• Data-driven decision-making

• Predictive analytics and machine learning

• Retail industry domain expertise

• Agile project management and team leadership

Professional Impact

Under Daniel's leadership, REVOLVE's business intelligence and data science function has become a strategic asset, driving significant improvements in customer lifetime value, marketing campaign effectiveness, and overall operational efficiency. His ability to translate complex data into actionable insights has earned him recognition as a thought leader in the industry, and he is frequently invited to speak at industry conferences and events.

Conclusion

With his extensive experience, technical expertise, and strategic mindset, Daniel Wu is positioned to continue driving innovation and growth at REVOLVE. As the company navigates the evolving retail landscape, his data-driven approach and collaborative leadership style will be instrumental in ensuring REVOLVE remains at the forefront of the industry.