Randy A. Williams
Lecturer | Kennedy Teaching Fellow
Randy A. Williams is a practitioner-scholar and educator specializing in business analytics, information systems, project management, and digital transformation. He holds a PhD in Technology Management from the University of Bridgeport and master's degrees in both Finance and Enterprise Analytics from Pace University in NYC, along with an MBA from West Chester University of PA. Serving as a lecturer in Operations and Information Management with UMass Isenberg School of Management, Williams teaches graduate courses in python and project management. As a John F. Kennedy Teaching Fellow, he drives technological integration and teaching excellence across the institution. Williams brings two decades of executive-level experience in financial planning and analysis, business intelligence, and finance transformation from organizations including XPO Logistics and Citigroup. He holds various industry certifications in project management and agile approaches. Last, his contributions to UMass academic community including serving as an Instructional Innovation Fellow and UMass Advance Fellow.
Education
Academic Appointments
Research Interests
Teaching Interests
- Business Application Development with Python
- Project Management
- Project Risk Management
- Mastering Agile Scrum
- Database Management Systems
- Business Intelligence and Decision Support Systems
- PowerBI and Dashboarding
Recent Honors
Professional Experience
Selected Working Papers / Current Research
Approaches to teaching programming in the age of generative AI.
Media, Industry, and Public Impact
Industry Experience:
Tenerity, Inc – Senior Director FP&A and Transformation for Global Operations and IT
XPO Logistics Senior Manager, Finance Transformation
Cantor Fitzgerald – Senior Vice President FP&A and Transformation
GE Capital – FP&A Manager for Treasury Operations
Citigroup – Vice President FP&A for Operations and Technology
GSI Commerce – Senior Financial Analyst
Wells Fargo – Senior Financial Analyst
Selected Publications
Williams, R., Duman, G., Kongar, E., & Sheikh, N. (2024). Organizational factors enabling augmented analytic and BI 4.0 implementation success. IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2024.3506865
Williams, R., Duman, G., Kongar, E., & Tenney, D. (2023). Understanding business intelligence implementation failure from technology, organization, and process perspectives. IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2023.3331247
Williams, R., Sheikh, N., Duman, G., & Kongar, E. (2022). Critical success factors of business intelligence systems implementation. IEEE Engineering Management Review. https://doi.org/10.1109/EMR.2022.3197096