Wednesday, May 6, 2026
02:00 PM - 02:45 PM
Intermediate
Every data leader eventually hits the same fork in the road: invest in an enterprise data strategy before shipping anything, or let real use cases pull the foundations into place as value is delivered. Strategy-first proponents argue it is the only way to prevent fragmentation, duplicated spend, and governance debt across a sprawling enterprise. Use-case-led advocates counter that strategy without delivery is theater — that momentum, credibility, and even data quality itself emerge only when something real ships.
In this moderated debate, two sides will make their strongest cases, challenge each other directly, and take questions from the room. Expect a candid exchange on where each approach actually wins, where each one quietly fails, and how regulation, GenAI, and data-product thinking are reshaping the trade-off. Attendees will leave with a sharper lens for auditing their own programs and a practical frame for deciding where the next dollar, hire, and quarter of effort should go.
Hamish is responsible for Enterprise Data Architecture, which is responsible for the overall design of managed data structures, including strategies for data implementation, acquisition, and maintenance, and evaluating data sources for adherence to quality standards and ease of integration. The specific role is to capture data requirements clearly, completely, and correctly, and represent them in a formal and visual way through the data models. In addition, making sure that data integration is based on a common metadata framework and that the integrated data is presented to the business as valid information.
Hamish previously served in a similar role for S&P Global Market Intelligence. Hamish joined S&P Global in 2015 via the SNL Financial acquisition, where he had served as Head of Data Architecture since 2006.
Hamish has 25+ years of experience in technology leadership, large abstract datasets, and highly engineered information systems. He has extensive knowledge of Structured, Semi-Structured, and Unstructured data strategies. Hamish attended Princeton University, where he studied Economics and Politics.
Becky Lyons, PhD, is a Principal Consultant at First San Francisco Partners. Her work focuses primarily on navigating the organizational and cultural issues around enterprise data management. She leads teams of all sizes to implement and manage systematic and sustainable data management strategies that create value through data. With an eye toward organizational improvement, she engages and empowers leaders to reach better decisions faster with trusted data. Her work is informed by a Ph.D. in Education with an emphasis in Institutional Analysis from North Dakota State University, her thought leadership in Organizational Change Management, and a passion for helping individuals succeed. Becky is a thought leader in the area of data governance and organizational change management, regularly speaking at conferences and writing for industry publications and the FSFP blog.
Dale Martin has spent three decades at the intersection of technology, leadership, and trust. Most recently, he led AI strategy and responsible AI governance at Thermo Fisher Scientific, where he designed enterprise AI operating models for an organization of over 100,000 employees. His work has spanned enterprise architecture, cloud transformation, AI operations, and the governance frameworks that make autonomous systems trustworthy.
Now Dale is building what comes next. As principal at MortarCloud LLC, he advises organizations and early-stage AI companies on trusted AI strategy and governance design. His approach is practical and plain-language — built for business leaders, not engineers.
His first book, Bears & Mosquitoes (June 2026), argues the real AI risk isn't the bears everyone's watching — it's the mosquitoes compounding while no one looks. He speaks on AI trust, inside-out governance, and why trust-built AI outcompetes the rest.