Across industries, competitive advantage increasingly depends on an organization’s ability to apply AI to decisions, operations, and customer experiences. As enterprises adopt more autonomous and context-aware systems, data architectures built over decades are proving insufficient. Agentic AI requires data environments that deliver context, responsiveness, and semantic consistency at scale. At Forrester, my research focuses on helping technology, data, and architecture leaders make decisions about enterprise data platforms, architecture, and governance that determine whether AI delivers sustained business value — or stalls at scale.

My core belief is simple: technology and data exist to advance the business. Managing data as an enterprise asset is essential to driving meaningful business outcomes — and architecture, governance, and platform decisions must translate directly into measurable impact. My research takes an architecture-driven approach to helping organizations move from fragmented legacy environments toward operating models that support AI at scale and are resilient, interoperable, and trusted.

My Path To This Work

Throughout my career, I have led enterprise architecture, data strategy, and modernization efforts across global financial services organizations. These environments demand rigor, resilience, and trust, and this experience reinforces a reality many leaders face: data initiatives often struggle to deliver value at the pace the business expects.

My work has focused on modernizing data platforms, strengthening governance, enabling analytics and AI, and simplifying complex ecosystems — always with a clear connection to business outcomes. Over more than two decades, I have seen how quickly confidence erodes when value takes too long to materialize. This experience has shaped my emphasis on incremental modernization that delivers visible impact, restores trust, and aligns people, processes, data, and technology.

Most recently, I served as senior vice president of architecture at Fidelity, where I focused on strategy and architecture for enterprise common data platforms. I have also held leadership and strategic consulting roles at State Street Bank, Silicon Valley Bank, MFS Investments, and Natixis Global Asset Management.

Why Forrester … And Why Now?

Forrester offers a vantage point that connects strategy, architecture, governance, and operating models to the decisions leaders must make under real constraints. The value of research in this context is not prediction or promotion but helping leaders evaluate tradeoffs and make durable choices that hold up as technology and expectations continue to evolve.

My research focuses on the decisions that sit beneath AI adoption and determine whether value can be sustained over time. This includes how organizations manage data as an enterprise asset, how architecture and governance support accountability and trust, and how operating models align technology investment to business priorities. The emphasis is on clarity and execution, informed by research and practitioner experience.

The timing matters because many organizations are moving from exploration into commitment. Decisions made at this stage shape not only technical direction, but also how work gets done and how value is measured. At Forrester, my goal is to help leaders approach these decisions deliberately with a clear connection between foundational choices and business outcomes.

Looking Ahead

My focus at Forrester is to bring clarity to complex decisions and help leaders move forward with confidence. Through research and client engagement, I aim to provide practical guidance that connects architectural choices to business outcomes.

I look forward to partnering with clients and contributing research that supports confident decision-making and meaningful business results. Book a guidance session with me.