I've built and led large-scale data and AI organizations — as a CDO, practice leader, and C-suite advisor across financial services, media, consumer technology, and enterprise software. Oxford-trained in AI. Proven at scale. Ready to bring it inside your organization.
Whether you're a technology company, a consultancy, a financial institution, or a global enterprise — you need leaders who don't just understand data and AI in theory. You need someone who has deployed it, measured it, and made it stick inside complex organizations under real pressure.
I've been the CDO evaluating your platform. The practice leader recommending it to Fortune 500 clients. The executive signing the contracts — and then having to make the technology work inside skeptical, politically complex organizations. That experience is rare, and it translates directly into value wherever I go.
I bring equal fluency in technical depth and business outcomes, in building teams and advising boards, in closing deals and delivering them. The through-line across twenty years is simple: I turn the potential of data and AI into results that show up in the numbers.
"The questions we need to be asking aren't 'what AI tool should I use?' They're 'what sustainable competitive advantage can I uniquely achieve in an AI-powered world?' That reframe changes everything."
I understand enterprise buying behavior because I lived it. I can lead GTM strategy, build the narratives that resonate in the boardroom, and manage the complex stakeholder dynamics that determine whether a deal closes — and whether it delivers. P&L ownership from day one.
I've been the executive who bought technology and had to make it stick inside resistant, complex organizations. I understand post-sale friction, churn drivers, and expansion levers at a granular level — and I know how to design the programs, teams, and playbooks that make customers genuinely successful.
Oxford-trained. Field-tested across twenty years and dozens of organizations. I build the frameworks that help enterprises move from AI pilots to production — navigating the cultural, governance, and organizational barriers that kill most initiatives before they deliver value.
Built a 35-person distributed North American practice from scratch. Full P&L ownership. Served as trusted C-suite advisor on AI and data strategy for major enterprise clients across financial services, CPG, and retail.
Led 100+ person data practice across 8 U.S. cities, $20M P&L. Drove data strategy, analytics, ML, and CRM delivery for Coca-Cola, PayPal, and other Fortune 500 accounts.
Primary exec advisor to C-level clients on digital transformation. Led Google Center of Excellence. Drove CDP, CRM, and AI platform adoption across enterprise accounts including Spotify and PayPal.
Led cross-functional teams implementing CDP, CRM, and AI platforms for enterprise customers. Managed full customer journey from pre-sales through implementation and ongoing success.
Led digital transformation across a 22-brand media portfolio. Built marketing analytics function from scratch. 19% revenue increase through data-driven subscription and CRM strategy.
Led first mobile app, Asian market expansion. 28% online conversion increase unlocked $1.7B in new assets under management.
Product strategy for a global digital identity and CRM platform serving 14M users, 3B+ daily transactions. $3.6M annual savings via ML-driven authentication redesign.
The Beastie Boys didn't follow the rules — they sampled everything, blended genres that weren't supposed to mix, and built a completely original voice. There's a direct line from their creative philosophy to what the best modern marketing looks like.
The "Garbage Can Model" of organizational decision-making describes how solutions often go looking for problems. Sound familiar? An honest look at how MarTech gets bought, implemented, and why the stack rarely delivers what was promised on the slide deck.
Andor didn't rely on nostalgia or fan service — it trusted its audience, committed to a slow-burn story, and built something that felt genuinely earned. The lessons for brands trying to build real loyalty instead of just attention are hiding in plain sight.
I'm actively exploring senior executive roles across technology, AI, enterprise software, consulting, and financial services — wherever deep data and AI leadership can make a measurable difference.
Status: Actively exploring · New York, NY · Open to relocation for the right role