Summary
Paul Lucas is a strategic data and analytics executive with nearly two decades of experience building high-performing teams and translating complex data into business value across retail and fintech. Currently VP of Data Analytics at Sezzle, he partners with C-level leaders to deploy machine learning, BI, and agile delivery to drive decision-making and revenue growth. Previously at Target he led large-scale migrations, modernized analytics stacks (from .NET/UDB/Teradata to Tableau/Exadata/Hive), and managed global teams responsible for billions in financial products and millions of customer interactions. Known for hands-on leadership, he combines technical fluency in Python, R, SAS and SQL with operational rigor—P&L ownership, cost savings, and process automation are recurring outcomes. He also pursues continual developer growth (active on GitHub as a data engineer improving Python and R skills), reflecting a practitioner mindset despite executive scope. His background in quantitative economics and an MBA informs a pragmatic, measurement-driven approach to digital transformation and turnaround efforts.
9 years of coding experience
17 years of employment as a software developer
Bachelor of Arts - BA, Economics - Quantitative Emphasis, Bachelor of Arts - BA, Economics - Quantitative Emphasis at University of Minnesota
Master of Business Administration - MBA, Finance & Management Information Systems, Master of Business Administration - MBA, Finance & Management Information Systems at University of Minnesota - Carlson School of Management