Eric Jokl
About Eric Jokl
Eric Jokl is a Data Quality Improvement Manager with expertise in global systems analysis and process enhancement. He has over two decades of experience in data management and analytics across various organizations, including AXA XL and Mapfre.
Work at AXA XL
Eric Jokl serves as the Data Quality Improvement Manager at AXA XL, a position he has held since 2023. In this role, he focuses on enhancing data quality processes and systems across various regions, including America, Europe, London, and India. His responsibilities include global systems analysis and process improvement, which are essential for maintaining high standards of data integrity within the organization.
Professional Background
Eric Jokl has a diverse professional background in data management and systems analysis. Before joining AXA XL, he worked at Mapfre as the Business Applications Services Manager for Data Warehouse & Business Intelligence from 2012 to 2023. He also held positions at Travelers as Data Management Manager from 2007 to 2012, UnitedHealth Group as Information Systems Director from 2005 to 2006, and The Hartford as Project & Release Manager from 2001 to 2005.
Education and Expertise
Eric Jokl holds a Master's degree in Instructional Technology from Southern Connecticut State University. He also earned a Bachelor's degree in Liberal Arts and Sciences from the University of Connecticut. His educational background supports his strong analytical, interpersonal, and technical skills, which are vital for his current role in data quality improvement.
Experience in Data Management
Throughout his career, Eric Jokl has accumulated extensive experience in data management and quality improvement. His tenure at Mapfre involved overseeing data warehouse and business intelligence initiatives, while his previous roles at Travelers, UnitedHealth Group, and The Hartford provided him with a solid foundation in project management and information systems. This experience equips him to effectively address challenges in data quality across multiple regions.