Executive Profile.

At GXO Logistics, we are at the forefront of integrating AI and ML into global supply chain solutions. My role as SVP of Data Engineering and Advanced Data Sciences (AI & ML) encompasses spearheading transformative projects that enhance operational efficiencies and accuracy through predictive analytics. I lead enterprise data engineering and advanced data science / AI organizations focused on building the data foundations and AI capabilities required to turn experimentation into durable, production systems at global scale. My work centers on modern data platforms, operating models, and governance that make AI reliable, responsible, and economically meaningful across complex, distributed enterprises.

Operating at a CTO/CIO level. The focus of our work is not only on technological advancement but also on fostering an inclusive and dynamic environment where our team’s expertise in big data, CRM, and AWS facilitates strategic growth. Partnering with blue-chip customers, we tackle complex challenges and deliver technologically advanced supply chain solutions at an unprecedented scale and speed with multi-region WMS/TMS/OMS integration. Data lake + MDM rollouts worldwide. AI-driven demand planning or labor optimization. I operate at a CTO/CIO level, leading enterprise-scale technology, data, and AI platforms that directly support revenue growth, operational efficiency, and customer outcomes. My experience spans global platform architecture, AI-driven products, cloud transformation, and executive-level technology strategy in complex, distributed organizations.

My leadership spans operating model design, platform standardization, AI at scale, M&A integration, and governance across highly matrixed, global organizations. I am particularly focused on moving enterprises from descriptive analytics to predictive and autonomous decision-making powered by unified data and AI.

I believe modern technology leadership is about building intelligent, adaptable platforms that turn data into insight and insight into action—while balancing speed, security, and scalability in real-world operations.