Daniel Reaume

Dan Reaume is the Vice President of Commercial Analytics for Honeywell. Reporting directly to the Chief Commercial Officer and also to the Chief Strategy Officer, Dan leads data scientists, data engineers, AI experts, mathematicians, visualization experts, and statisticians designing and developing user-friendly tools leveraging advanced Generative Artificial Intelligence, deep learning, machine learning, and optimization algorithms to drive greater competitive advantage and value for Honeywell and its customers. With a background in operations research, technology management, and law, Dan provides strategic and tactical leadership to set technical priorities, ensure analytics trustworthiness, maximize validated value generation, and deepen expertise in both foundational and cutting-edge practice areas. Dan's 26 years of experience developing and implementing analytics solutions for preeminent companies offer a unique combination of world-class technical expertise, deep domain knowledge of manufacturing and commercial operations, extensive executive and technical leadership experience, and a proven track record of success. This enables him to bridge the gap between theory and practice to drive innovative yet practical analytic solutions that quickly generate bottom-line value. Prior to joining Honeywell, Dan led Analytics and AI for Caterpillar Digital, led Revenue Analytics' analytics organization as Vice-President of Operations Research; led pricing and customer experience analytics efforts for Dow Chemical; was the founding director of Advanced Analytics for Dow Corning; and served as technical fellow and leader of the Senior Leadership Technical Council for General Motors. In this latter role, Dan led teams credited with improving GM’s profitability by several billion dollars via advanced pricing, portfolio, and regulatory compliance analytics. Dan also served as an adjunct professor for the University of Michigan’s College of Engineering. He is a member of the INFORMS Roundtable, Michigan State University’s Axia Institute for Value Chain Research, the Wayne State University Business Analytics program and previously served on the board of the Chicago Analytics Leaders Network.Dan Reaume is the Vice President of Commercial Analytics for Honeywell. Reporting directly to the Chief Commercial Officer and also to the Chief Strategy Officer, Dan leads data scientists, data engineers, AI experts, mathematicians, visualization experts, and statisticians designing and developing user-friendly tools leveraging advanced Generative Artificial Intelligence, deep learning, machine learning, and optimization algorithms to drive greater competitive advantage and value for Honeywell and its customers. With a background in operations research, technology management, and law, Dan provides strategic and tactical leadership to set technical priorities, ensure analytics trustworthiness, maximize validated value generation, and deepen expertise in both foundational and cutting-edge practice areas. Dan's 26 years of experience developing and implementing analytics solutions for preeminent companies offer a unique combination of world-class technical expertise, deep domain knowledge of manufacturing and commercial operations, extensive executive and technical leadership experience, and a proven track record of success. This enables him to bridge the gap between theory and practice to drive innovative yet practical analytic solutions that quickly generate bottom-line value. Prior to joining Honeywell, Dan led Analytics and AI for Caterpillar Digital, led Revenue Analytics' analytics organization as Vice-President of Operations Research; led pricing and customer experience analytics efforts for Dow Chemical; was the founding director of Advanced Analytics for Dow Corning; and served as technical fellow and leader of the Senior Leadership Technical Council for General Motors. In this latter role, Dan led teams credited with improving GM’s profitability by several billion dollars via advanced pricing, portfolio, and regulatory compliance analytics. Dan also served as an adjunct professor for the University of Michigan’s College of Engineering. He is a member of the INFORMS Roundtable, Michigan State University’s Axia Institute for Value Chain Research, the Wayne State University Business Analytics program and previously served on the board of the Chicago Analytics Leaders Network.