With 25+ years in global business operations and technology, Daniel Byrne has cultivated a reputation as a transformative leader. Anchored in San Antonio, Texas, Daniel's journey began in the consulting realm, where he quickly distinguished himself by orchestrating technology and digital enhancements for Fortune 500 companies. This early immersion into diverse industries, from manufacturing to retail, set the stage for a career marked by versatility and cross-industry acumen.
His tenure at and work with industry leaders like Amazon, Williams, Eastman Chemical, Procter & Gamble and Marathon Petroleum epitomizes his commitment to driving profitability, efficiency, and innovation. Whether turning around underperforming assets, or instigating operational improvements that led to millions in profit, Daniel's work is underpinned by a profound understanding of data's and technology's transformative power. He's been the linchpin in endeavors that reclaimed critical business performance, and forged novel strategies.
Daniel's passion isn't limited to refining business performance and capabilities; it's about the people. He's a fervent advocate for talent development, which is evident in his leadership roles, where he's developed high performance teams, building them into cohesive units, championing safety, diversity, and performance.
Educationally, Daniel is grounded by a multi-faceted foundation with degrees spanning Business, Organizational Behavior, and Technical and Scientific Communication, with advanced studies in Economics, Information Technology, Quality, Project Management, Data Science, and Artificial Intelligence.
Today, as he continues his leadership journey, Daniel is eager to collaborate, innovate, and inspire, bringing his unique blend of experience, passion, and expertise to new challenges and opportunities.
Marathon Petroleum is laying the groundwork for AI powered technology with a transformational program designed to standardize maintenance operations across its midstream business. With a focus on data quality, system integration, and process consistency, this initiative is enabling scalable AI use cases across the full IPSEC lifecycle (Identify, Plan, Schedule, Execute, Close). As Dan shares, this foundational work is critical, especially in light of a recent MIT study showing that 95% of AI initiatives deliver little to no measurable value. This session explores how Marathon is building the digital and data infrastructure needed to ensure AI delivers real operational impact and how they’re actively exploring AI use cases that support predictive maintenance, intelligent scheduling, and frontline decision-making.
Check out the incredible speaker line-up to see who will be joining Daniel.
Download The Latest Agenda