Josef Vitek

Data Engineering Manager at AppDynamics

I was unable to locate information about Josef Vitek being a Data Engineering Manager at AppDynamics. However, I did find information about the following people:

Justin Goodson: Is a Professor in the Department of Operations & IT Management at Saint Louis University's Richard A. Chaifetz School of Business.1 He obtained a Ph.D. in Business Analytics from the University of Iowa, and B.S. and M.S. degrees in Industrial and Manufacturing Systems Engineering and an MBA from the University of Missouri-Columbia.1 His research interests center on sequential decision problems with uncertain information, focusing largely on problems arising in transportation and logistics.1
Abhimanyu Gupta: Is an Instructor of Data Science at Richard A. Chaifetz School of Business at Saint Louis University since 2017.1 He did his Ph.D. from Ghent University, Belgium, on Information Systems.1 Before coming to academics, Abhi worked as a Project Manager in the Information Technology industry for 17 years.1
D. Ray Scott: Is a Senior Partner at Experience on Demand, a consulting firm in Creve Coeur, Missouri, where he specializes in process improvement, project management, and supply chain strategy.1 Ray served 17 years as Vice President - Supply Chain Management at Code 3, Inc., a manufacturer of emergency vehicle lighting and warning systems.1
Becky McDonough: Is the Vice President of Business Transformation at Mastercard and adjunct faculty in the business school at St. Louis University.1 At Mastercard, she is responsible for delivering transformation and operational excellence within the Data & Services business.1
Engineering Manager at AppDynamics: According to Glassdoor, the estimated total pay range for an Engineering Manager at AppDynamics is $297K–$422K per year, which includes base salary and additional pay.3
Manager of Data Engineering: A Manager of Data Engineering works at IT Partners.4
Data Engineering Manager: A data engineering manager is responsible for designing, constructing, installing, and maintaining large-scale processing systems and other infrastructure.2 Their primary role is to ensure that data, whether structured or unstructured, is easily accessible and usable to analysts and data scientists for insights and analysis.2