Sonja Stange
About Sonja Stange
Sonja Stange is a Manager of Business Consulting at Materna Information & Communications SE, specializing in process consulting for customer service. She has a background in computer linguistics and extensive experience in business development and analysis.
Work at Materna
Sonja Stange currently holds the position of Manager Business Consulting at Materna Information & Communications SE, a role she has occupied since 2021. In this capacity, she specializes in process consulting for service processes, particularly focusing on customer service. Prior to her current role, she worked in various capacities at Materna, including Innovation & Business Development from 2017 to 2020 and as a Business Analyst from 2020 to 2021. Her experience at Materna spans over six years, contributing to her expertise in the field.
Education and Expertise
Sonja Stange has a strong educational background in computer linguistics and IT management. She studied at Universität Potsdam, where she earned a degree in Computerlinguistik from 2009 to 2013. She furthered her education at Heinrich-Heine-Universität Düsseldorf, achieving another degree in Computerlinguistik from 2015 to 2017. Most recently, she completed her studies in IT-Management at Westfälische Wilhelms-Universität Münster in 2018. Her expertise includes knowledge management, text and voice bots, machine learning, natural language understanding, and automatic translation.
Background
Before joining Materna, Sonja Stange worked at Monotype GmbH, formerly known as Linotype GmbH, as a Customer Support Agent from 2005 to 2008. This early experience in customer support laid the foundation for her later focus on customer service processes. Her career trajectory reflects a consistent engagement with technology and consulting, particularly in roles that enhance service delivery and customer interaction.
Professional Experience
Sonja Stange has accumulated diverse professional experience in the technology and consulting sectors. Her tenure at Materna includes roles in Innovation & Business Development and Business Analysis, where she contributed to various projects aimed at improving business processes. Her work has involved leveraging her knowledge in machine learning and natural language processing to enhance customer service solutions. This extensive experience positions her as a knowledgeable resource in her field.