I help leaders identify where AI can create real value, reducing unnecessary work, improving focus, and freeing people to spend more time on the judgment, creativity, and problem-solving that matter most.
With experience across market intelligence, data governance, and analytics, I bring a practical lens to AI adoption: connecting emerging tools to real operating needs, filtering out hype, and focusing on what is actually useful.
When applied thoughtfully, AI can strengthen teams, improve decision-making, and make work more sustainable for the people doing it.
Throughout my career, I've worked across business, consulting, and technology teams, often acting as the connective tissue between stakeholders who care about the same outcomes but speak very different languages.
A large part of my work has focused on data governance, metadata, and knowledge systems — the unglamorous but critical layers that determine whether analytics, AI, and automation actually succeed inside real organizations.
More recently, I've been exploring how market intelligence, applied research, and AI-assisted workflows can complement human judgment rather than replace it. I'm most interested in building systems that improve decision-making in practical, durable ways.
Across roles, I tend to operate as a hybrid: part strategist, part builder, part translator. I'm naturally curious, low key, and energized by solving difficult problems through thoughtful collaboration.
Turning external signals, competitive context, and fragmented information into actionable business insight.
Designing the structures, language, and ownership models that make enterprise data more trusted and usable.
Improving how organizations connect systems, reporting, and operational decisions.
I like turning ambiguous problems into clear working models.
I'm usually most useful where business, data, and technical teams need translation.
I care about whether an idea will actually fit real workflows, incentives, and constraints.
I value thoughtful collaboration over noise.
I'm drawn to problems that require both structure and empathy.
I grew up building with LEGO, msDOS, SimCity, and Roller Coaster Tycoon. I've always wanted to understand how everything works. That instinct never went away. It just found its way into 20 years of professional work.
I enjoy taking complicated things and making them simple for you to understand. I see the world in shapes and colors and patterns, and I've spent my career translating between people and technology when they can't seem to find each other.
I enjoy being wrong. Not for the sake of it, but because reflecting on why I was wrong is how I get sharper. More times than not, I'm not wrong. But when I am, that's where the interesting work happens.
I see the disconnect between people and technology clearly, and I think the most valuable thing I can do is build better conduits between them. Not just better dashboards or models, but better ways of transferring understanding so people can see solutions in their own world and want to build.