Technology Executive. Innovation. Leadership. Value Creation.
Where should we play? How will we win? Maybe the better question is – “What is our strategy?”
To some, the term “strategy” may seem too high-level – maybe even disconnected with the reality of operations and execution. To others, a strategic plan is an algorithm or business modeling exercise. From my perspective, at its core, strategy is defining where we should play and how we win.
What has changed is how quickly and effectively we can translate that strategy into execution. The emergence of AI is reshaping how product and engineering teams operate—compressing workflows, accelerating decision-making, and increasing the speed at which organizations can deliver value.
My professional passion is connecting company strategies to product strategies and then building, motivating, and inspiring Engineers and Product Leaders to deliver capabilities that exceed expectations. The foundation of my success is rooted in structured ideation, ROI analysis, and increasingly, AI-enabled workflows that improve throughput, decision quality, and alignment to business outcomes.
To me, defining where to play and how to win builds the critical connective tissue between the organizational objectives and functional teams that ultimately crates value. If you’d like to learn more about me, my approach, or perhaps would just like to connect and share stories – please download my CV and/or contact directly.
Watch Intro
The Question Most Product Organizations Won't Ask
What do we stop doing so we can invest in what customers actually pay for?
The most common strategic failure I see is not building the wrong thing — it is trying to build too many things. Spreading R&D investment evenly across priorities feels fair and feels safe in a board meeting. It is also a strategy for mediocrity. You get incremental progress everywhere and breakthrough innovation nowhere. Concentration is the answer, and concentration requires the discipline to name what stops — not just what starts or continues. The same discipline applies, far more urgently, to AI. Customer discovery has always separated product leaders who ship features from product leaders who build durable advantage. With AI, that gap widens. AI without discovery produces capability nobody pays for. AI built on removing real customer friction produces commercial outcomes — and those outcomes compound.
ABOUT ME
Results-driven Product & Technology Executive with a track record of leading SaaS platforms through transformation across healthcare, education, hospitality, and retail. Known for aligning product strategy, organizational structure, and capital allocation to drive measurable growth in ARR and EBITDA across both private equity and public company environments.
Recognized for building disciplined product operating models that translate strategy into execution—leveraging data-driven prioritization, cross-functional alignment, and increasingly, AI-enabled workflows to improve team productivity, decision quality, and speed to value. Early adopter of AI in product management, driving organization-wide adoption and measurable efficiency gains by embedding AI into core product development and delivery processes.
Experienced M&A advisor supporting diligence and integration, with a pragmatic leadership style that balances near-term execution with long-term platform evolution.
EDUCATION
Bachelor of Science, Cornell University
PATENTS
CORE COMPETENCIES
