I'm most interested in what lasts.
My career has moved between the boardroom, the classroom, and the dissertation, but the questions have stayed remarkably consistent: what makes an organization durable, and how do people do their best work inside one? This is the longer version of how those threads fit together.
How I think about the work, and the threads that connect it, in my own words.
I work at the intersection of business strategy, technology, and human behavior. The most consequential variable in any transformation is rarely the technology. It's the people, the organizational dynamics, and the gap between how leaders think change happens and how it actually does.
At Service Corporation International, I lead a team of Product Portfolio Managers with direct responsibility for the digital products that support more than 25,000 associates across 2,000+ locations in North America. Alongside a strong leadership team, we're working to fundamentally change how SCI governs, delivers, and sustains technology investment at scale, and doing that inside a large, operationally complex organization is what makes the work genuinely hard and genuinely interesting.
I don't believe in technology in search of a problem. The solution, including AI, has to earn its place.
Great product work starts with a clearly defined business or human need. That isn't a constraint on ambition; it's what separates transformation that sticks from transformation that doesn't.
That same philosophy informs my doctoral research, which examines how AI actually reshapes organizational effectiveness and workforce performance at scale, specifically the gap between what organizations expect AI to do and what their people actually experience. Working on that question keeps me sharp in ways that feed directly back into the work.
Outside of SCI, I guest lecture at the graduate and doctoral level on technology-enabled transformation and AI adoption, using real enterprise implementations rather than theory. I'm actively looking to grow that side of my work; speaking engagements, research collaboration, and adjunct teaching are conversations I genuinely welcome.
I also follow the startup and venture community with real interest, particularly where AI, organizational science, and enterprise transformation intersect. The questions I study academically are often the same ones early-stage teams are wrestling with operationally, and I find that overlap endlessly interesting.
Senior Director of Product Management
Leads the product management discipline and product strategy for the digital products supporting sales, marketing, and operations across North America's largest provider of funeral and cemetery services. Co-led the launch of SCI's first enterprise Product Operating Model and Digital Products organization, and built governance and value-assurance frameworks linking digital investment to enterprise strategy and measurable outcomes.
Principal & Primary Strategist
Founds and leads a venture studio and holding company creating durable value across businesses, real estate, and intellectual property.
PhD Candidate, Organizational Impacts of AI
Researches how AI implementation reshapes organizational effectiveness and workforce performance at scale, focused on the gap between what organizations expect from AI and what their people actually experience.
Guest Lecturer & Speaker
Guest lectures at the graduate and doctoral level on technology-enabled transformation and AI adoption, using real enterprise implementations rather than theory.
Product & Sales Leadership · Founder
Progressed through product and sales leadership at SCI, directing the Salesforce and Beacon sales platforms and delivering the company's first enterprise AI/ML initiative. Earlier still, founded and advised several early-stage ventures across e-commerce, SaaS, and service businesses.
Let's find the right conversation.
I'm always glad to connect around technology strategy and organizational adoption, speaking and research collaboration, academic partnerships and adjunct teaching, or the startup and venture ecosystem at the intersection of AI and enterprise.