Chad Burnett
About Chad Burnett
Chad Burnett serves as the Director of Economic Forecasting at American Electric Power, where he has worked since 2013. He also holds a position as an Adjunct Professor of Economics at Southern Nazarene University, contributing to the academic field since 2002.
Current Role at American Electric Power
Chad Burnett serves as the Director of Economic Forecasting at American Electric Power, a position he has held since 2013. In this role, he is responsible for developing and presenting demand side management analysis, which is crucial for resource planning and financial modeling. His work involves analyzing economic trends and providing insights that inform strategic decisions within the organization.
Previous Experience at American Electric Power
Chad Burnett has extensive experience at American Electric Power, having worked there in various capacities from 1997 to 2013. He began as an Economist, progressing through roles of increasing responsibility, including Project Manager and Manager of Economic Forecasting. His tenure included analyzing monthly variance reports and managing departmental budgets, as well as providing expert testimony in regulatory proceedings.
Academic Involvement at Southern Nazarene University
Since 2002, Chad Burnett has been an Adjunct Professor of Economics at Southern Nazarene University's Graduate School of Business. In this role, he contributes to the academic community by teaching economics, sharing his industry insights, and mentoring graduate students in their studies.
Educational Background in Finance and Economics
Chad Burnett earned his MBA and BSBA from The University of Tulsa, where he studied Finance and Economics from 1995 to 2002. His educational background provides a strong foundation for his analytical work in economic forecasting and consulting.
Collaborative Work Across Departments
In his current role, Chad Burnett collaborates with various departments within American Electric Power, including Accounting, Regulatory, and Commercial Operations. This collaboration is essential for addressing forecast issues and explaining variances, ensuring that the organization operates efficiently and effectively.