Managing Effective Data Science Teams

Abstract: As the field of Data Science continues its accelerated growth, the need for managers to develop and lead effective teams is quickly becoming more acute. Conor will help you learn how to build and manage an effective Data Science team that will become an instrumental part of your organization. The talk will cover how to select and develop your team members, create a self-sustaining pipeline of analytics projects, make appropriate technology selections, and deliver real value to your company. Learn from real world examples that have gone well, and those that have gone poorly to take actionable insights back to your organization.

Bio: Conor Jensen is an experienced Data and Analytics executive who has spent over a decade working in the analytics space across multiple industries, as both a consumer and developer of analytics solutions. He currently works as a Customer Success Manager at Domino Data Lab, helping customers make the most of their Data Science platform and guiding them through building teams and processes to be successful. Previously he has successfully built out analytics functions at multiple insurance companies. This includes building out data and analytics platforms, Business Intelligence capabilities, and Predictive Analytics serving both internal and external customers.