Mason Brown

Sr. IT Program Manager, Consensus Cloud Solutions

DBA Scholar

Background

Mason Brown is an innovative IT strategist and technology leader with a strong track record in leading complex digital transformation initiatives, enterprise system re-architectures, and strategic planning projects. Throughout his career, he has consistently aligned technological advancements with broader business objectives, resulting in measurable improvements in operational efficiency, customer engagement, and revenue growth.

Brown holds a Master of Science in Information Technology Management from Tulane University, where he also earned graduate certificates in IT leadership, strategic planning, and IT architectural design. He also completed an IT management certification from Cornell University. His undergraduate degree is in liberal arts with a focus on Africana studies from UNC Charlotte. In addition, he holds several professional certifications, including Certified Scrum Product Owner (CSPO), Certified Scrum Master (CSM), and multiple Microsoft Certified Systems Engineering credentials.

He has held senior leadership roles across a range of industries—including retail, manufacturing, healthcare, banking, and financial services—where he has developed strategic programs that significantly improved business operations and reduced costs.

Research Interest

Brown’s research interests center on digital transformation management, enterprise architecture, API and cloud integration, and the deployment of artificial intelligence in enterprise workflows. He is particularly interested in examining the financial impacts of AI-driven automation and intelligent systems on organizational profitability, cost optimization, and revenue growth.

His research aims to explore how organizations can implement scalable, sustainable systems that enhance operational agility, facilitate technological adoption, and maintain competitive advantage. He is especially focused on the transformative effects of cloud-native architectures, API ecosystems, and automation technologies—including AI—on enterprise resilience, operational efficiency, and long-term financial performance.