Connor Callen
About Connor Callen
Connor Callen Director of Data Systems and Analytics
Connor Callen currently serves as the Director of Data Systems and Analytics. In this role, he oversees the development and management of data infrastructures and analytics processes, ensuring that data systems align with the overall objectives of the organization. His work focuses on optimizing the flow and utilization of data to improve decision-making and strategic planning.
Connor Callen Education and Expertise
Connor Callen graduated from the University of Colorado: Boulder in 2018 with a degree in Biochemical Engineering. His educational background provides a strong foundation in scientific and technical disciplines, enabling him to approach problems analytically and develop innovative solutions. This expertise is reflected in his ability to manage complex data systems and contribute effectively to various engineering and analytics projects.
Connor Callen Background at IBM
Before his current role, Connor Callen held multiple engineering and project management positions at IBM. During his tenure at IBM, he gained substantial experience in managing large-scale projects and leading engineering teams. This period allowed him to develop his skills in both technical engineering and project coordination, preparing him for future leadership roles.
Connor Callen Territory Manager in Medical Device Field
Connor Callen transitioned back to the medical field by becoming a territory manager in the medical device sector. His responsibilities included overseeing sales territories, managing client relationships, and ensuring the successful distribution of medical devices. This role provided him with valuable insights into the medical industry and enhanced his ability to manage cross-functional teams.
Connor Callen Consultant to the Karli Center
As a consultant to the Karli Center, Connor Callen collaborates with the executive team to integrate the Greyledge data model into the Center’s EMR platform. His work involves ensuring that the data model is seamlessly incorporated, improving the accuracy and accessibility of patient records. This initiative enhances the Center's data management capabilities and supports better clinical outcomes.