Expertise

Artificial Intelligence

Technology

Data Science

Strategy

Leadership

Organization

Experience

The Foundation: Statistical Rigor & Discipline

My roots are not in hype cycles, but in the hard math that makes systems work. My career foundation was built as an economist and statistician at the U.S. Bureau of Labor Statistics, where precision was paramount, and as a paratrooper in the United States Army, where I learned that strategy means nothing without disciplined execution. This combination of statistical data science and operational leadership formed the bedrock of my approach: building systems that are mathematically sound and operationally durable.

The Arena: Enterprise Transformation at Scale

For over two decades, I translated data science into P&L impact for the world’s largest organizations. As a Managing Director at Accenture and in executive leadership roles at global networks like WPP (Wavemaker) and IPG (MRM//McCann), I did not just advise on change. I engineered it.

I have led large-scale AI and data science programs for more than 40 Fortune 500 companies, including Microsoft, Dell, Verizon, Nissan, Intel, BASF, Mastercard, and Cigna. My focus during this era was “Architecting for Scale” to ensure that innovation did not die in the pilot phase but became a measurable operating capability across the enterprise.

The Architect: Defining the AI-Native Enterprise

Today, I serve as the Founder and Chief AI Officer at Brand Nexus, where I partner with executive teams to turn AI from a buzzword into an operating system. My work focuses on the “Hard Things” in AI: Governance, Agentic Orchestration, and Workforce Enablement.

Beyond client delivery, I am committed to workforce AI adoption. I have upskilled teams from more than 100 enterprises and my training programs have included: AI Solutions Architect Certification, AI for Business Transformation, AI for New Business, AI for Startups & Entrepreneurs, and the 4A’s GenAI Certification Program.

Education

The Quantitative & Operational Core

My approach to AI transformation is rooted in a discipline that prioritizes precision over hype. This foundation was established at Fayetteville State University, where I graduated Magna Cum Laude with a B.S. in Economics and Statistics, and was honed through the United States Army’s Primary Leadership Development Program (Organizational Leadership). This combination of statistical rigor and military-grade operational discipline shaped my early philosophy: innovation requires a stable, calculable framework to scale safely.

Global Strategic Vision

To drive P&L impact for Fortune 500 giants, one must understand the macroeconomic forces they operate within. I deepened this expertise with a Master’s in International Economics (Summa Cum Laude) from George Mason University and an MBA in International Business from École des Ponts Business School. These credentials bridge the gap between technical possibility and global market reality, allowing me to align AI investments with broader business objectives. My fluency in English, French, Spanish and Portuguese enables me to work with teams from across the globe.

The Architect: Defining the AI-Native Enterprise

As the AI landscape matured, I advanced my technical and communicative toolkit to lead the AI-native enterprise. I completed the Executive Program in Business Analytics at The Wharton School, focusing on data-driven decision-making and business impact. I coupled this with a Graduate Program in Integrated Marketing Communications at New York University, ensuring that complex technical strategies can be translated into clear, actionable business narratives for stakeholders.

Selected Clients