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Chris is a principal in the Tax Technology practice of Ernst & Young LLP. He has more than two decades of experience in system development, technology infrastructure and operations. He has extensive technical experience performing data conversion, compliance evaluation and process assessment analysis, as well as development of advanced data acquisition, decision support and reporting systems.
Chris has a strong focus on artificial intelligence (AI) and enterprise analytics, specifically assisting organizations in shifting their tax strategy up the AI and analytics “value chain”. In addition, he advises organizations on the concepts and practical implementation of a tax data lake structure and on applied innovation techniques, including the use of agentic AI for intelligent automation.
He received a BS in Computer Science and an MBA from Case Western Reserve University.
How Christopher is shaping the future with confidence
Chris is helping to empower organizations to enhance their tax strategies through artificial intelligence and data-driven insights, fostering efficiency and compliance. Through his leadership and extensive knowledge, Chris is not only transforming tax strategies but also fostering a culture of innovation that contributes to a more efficient business landscape for all stakeholders.
