Randy A. Williams
Lecturer
Operations & Information Management
Education
Ph.D., Technology Management, University of Bridgeport, School of Engineering, CT, 2023
MS, Enterprise Analytics, Pace University, Seidenberg School of Computer Science, NYC, 2018
MS, Finance, Pace University, Lubin School of Business, NYC, 2012
MBA, West Chester University, West Chester, PA, 2008
BA, University of Delaware, Newark, DE
Academic Appointments
University of New Haven
Quinnipiac University
University of Bridgeport
Research Interests
Project Failure
AI in Project Management
Decision Modeling
Augmented Analytics
Projects in an Organizational Context
Teaching Interests
Project Management
Agile Thinking
Business Intelligence and Data Visualization
Augmented Analytics
Python for Business Analysts
Enterprise Data Fluency
Recent Honors
Professional Scrum Master – Scrum.org, 2024
Project Management Professional (PMP) – Project Management Institute, 2020
PMI-Agile Certified Practitioner (PMI- ACP) – Project Management Institute, 2020
Scaled Agile Advanced Scrum Master (SASM) – Scaled Agile / SAFe, 2020
Advanced Diploma in Global Business Services (ADGBS) – Hackett Institute, 2019
Professional Experience
Senior Director, Financial Planning & Analysis for Global Operations and IT, Tenerity, Inc., Stamford, CT, 2022-23
Finance Transformation Senior Manager, XPO Logistics, Greenwich, CT, 2018-22
Senior Vice President, Financial Planning & Analysis and Management Information, Cantor FItzgerald, New York, NY, 2015-18
Financial Planning & Analysis Manager, Treasury, GE Capital, Stamford, CT, 2014-15
Vice President, Operations and Technology Financial Planning & Analysis, Citigroup, New York, NY, 2010-14
Senior Financial Analyst, GSI Commerce, King of Prussia, PA, 2009-10
Senior Financial Analyst, Wells Fargo Auto Finance, Chester, PA, 2006-09
Selected Publications
Williams, R. A., Duman, G. M., Kongar, E., & Sheikh, N. J. (2024). Organizational Factors Enabling Augmented Analytic and BI 4.0 Implementation Success. IEEE Engineering Management Review.
Williams, R. A., Duman, G. M., Kongar, E., & Tenney, D. (2023). Understanding Business Intelligence Implementation Failure from Technology, Organization, and Process Perspectives. IEEE Engineering Management Review.
Williams, R. A., Sheikh, N. J., Duman, G. M., & Kongar, E. (2022). Critical success factors of business intelligence systems implementation. IEEE Engineering Management Review, 50(4), 88-97.