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AI & Technology Executive | ROI & EBITDA‑Driven AI Transformation | Agentic AI, Data Platforms & Architecture | Enterprise Solutions CTO
I am an AI & Technology Executive with 30+ years of experience leading enterprise‑scale transformations where AI, data, and platforms directly drive measurable ROI, EBITDA improvement, and sustainable growth. My focus is not experimentation—It's production‑grade AI and agentic systems that replace manual work (typically 250-4000+ FTEs), compress cycle times (TAT & AHT), and materially change cost structures and revenue models. My leadership philosophy is simple: empower people to do what they haven’t done before. Whether guiding enterprise-wide strategy or rolling up my sleeves with operational and IT teams, I build trust, clarity, and momentum. I’ve spent my career navigating complexity with calm resolve and an investors mindset. I have operated at the intersection of business strategy and deep technical execution, partnering with CEOs, CIOs, and business presidents to translate strategy into AI/Services‑as‑Software operating models. I enable deep-technical teams to drive AI outcomes -- architectures aligned to ROI goals -- across large enterprises, managed services environments, and larger startups. - ROI & P&L‑Driven AI Transformation: Designing AI strategies explicitly tied to margin expansion, cost takeout, labor substitution, and revenue acceleration. - Agentic AI at Enterprise Scale: Architecting and operationalizing multi‑agent AI systems that autonomously execute complex business and IT workflows. - AI as Software, Not Projects: Shifting organizations from people‑led delivery to software‑led, outcome‑based models. - Executive Level Leadership: Trusted advisor to senior leadership on AI strategy, operating models, risk, and governance. Technical Authority (Hands‑On When It Matters) While my role is executive in nature, in this AI builder economy I remain deeply technical and personally define the architectures that teams execut
MIT Sloan School of Management
Artificial Intelligence: Implications for Business Strategy, Artificial Intelligence
January 1, 2018 – January 1, 2018
Liberty University
Bachelor of Science - BS, Information Technology
N/A – Present
Louisiana Baptist University and Theological Seminary
Biblical Studies, Theology/Theological Studies - 2 Years
N/A – Present
Boston Baptist College
Biblical Studies, Theology/Theological Studies - 2 Years
N/A – Present
Rochester Institute of Technology
Physics - 2 Years
N/A – Present
Cognizant
NA Leader, Chief Architect, AI Strategy, Internal AI Industrialization & Automation
January 1, 2025 – Present
AI Makers Marketplace
Founder
January 1, 2024 – Present
Cognizant
Managing Director, Chief Architect: Client AI Solutions & Delivery, Software & Platforms Engineering
January 1, 2023 – June 1, 2025
Cognizant
Director of Intelligent Automation & Analytics - COE AIML Projects
January 1, 2021 – January 1, 2023
Cognizant
Director IA Architecture - Automation Center Platform - IaaS & SaaS Microservice Deploy & Scale
January 1, 2019 – January 1, 2021
Cognizant
Automation Architecture Consulting NA Focal, COE Consulting (in 4+ Billion Practice)
January 1, 2017 – January 1, 2019
Cognizant
Automation Program Director for Automation/AI Projects, CIS Technology Office (in $2B Practice)
January 1, 2015 – January 1, 2017
Cognizant
Automation Program and Architecture Director for Global Shared Services (600+ FTE Business Unit)
January 1, 2013 – January 1, 2015
Cognizant
Technical Services Head - Offerings, Architecture, Automation - Global Shared Services
January 1, 2007 – January 1, 2013
Cognizant
Cognizant acquired Aimnet
July 1, 2006 – January 1, 2007
AimNet Solutions
Technical Services Practice Head - Architecture, Design, Managed Services (Cisco / Sprint)
March 1, 2001 – May 1, 2006
Holliston, MA
Stream International
Senior Enterprise IT Services Engineer (Cisco, Microsoft, and HP Red-Badge Services)
January 1, 1996 – March 1, 2001
Canton, MA
Certified Information Systems Security Professional (CISSP)
Cisco
June 24, 2026 – Present
ITIL Continual Service Improvement (ITIL-CSI)
APMG International
June 24, 2026 – Present
Deep Learning Specialization (5 Courses: NN, CNN, RNN, LSTM, Seq, Transformers)
DeepLearning.AI
June 24, 2026 – Present
Neural Networks & Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Digital Business Transformation Management
CXO Transform
June 24, 2026 – Present
Artificial Intelligence: Implications for Business Strategy
MIT Sloan Executive Education
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a long tenure at Cognizant, progressing through various leadership roles focused on innovation, automation, and AI. This suggests a strong ability to adapt and grow within a large corporate culture. Their entrepreneurial venture (AI Makers Marketplace) also indicates initiative and a drive for innovation. The breadth of experience across multiple industry verticals (Retail, Healthcare, Life Sciences, Financial, etc.) shows adaptability and a broad understanding of diverse business needs, contributing positively to cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate's resume highlights strong leadership, strategic planning, and execution skills in complex technical environments. Their roles consistently involve managing large-scale projects, leading diverse teams, and driving business outcomes through technology. This indicates a high operational fit for senior-level roles requiring strategic vision and practical implementation.