Sean Follis
About Sean Follis
Sean Follis serves as the Vice President of Data & Decision Insights at MD Financial Management, where he has worked since 2003. He holds a BMath degree in Statistics with a minor in Computer Science from the University of Waterloo.
Work at MD Financial Management
Sean Follis has served as Vice President, Data & Decision Insights at MD Financial Management since 2003. In this role, he oversees data analysis and decision-making processes that support the organization’s strategic objectives. His responsibilities include managing data-driven initiatives and providing insights that inform business strategies. Follis has contributed to the development of analytical frameworks that enhance the company's ability to leverage data for improved decision-making.
Education and Expertise
Sean Follis earned a Bachelor of Mathematics (BMath) degree from the University of Waterloo, where he majored in Statistics and minored in Computer Science. His educational background provides a strong foundation in quantitative analysis and computational methods, which are essential in his current role. Follis's expertise in statistics and data analysis enables him to effectively interpret complex data sets and derive actionable insights.
Background
Before joining MD Financial Management, Sean Follis worked at Ipsos-Reid as a Senior Research Manager from 1998 to 2003. In this position, he gained experience in market research and data analysis, which contributed to his skill set in managing research projects and interpreting data. His transition to MD Financial Management marked a significant step in his career, allowing him to apply his research expertise in the financial sector.
Professional Experience
Sean Follis has over two decades of experience in data analysis and decision insights. His tenure at MD Financial Management spans 21 years, where he has played a pivotal role in shaping the organization's approach to data utilization. Prior to this, his five years at Ipsos-Reid provided him with a solid foundation in research methodologies and data interpretation, further enhancing his capabilities in the field.