I'm an MBA candidate and technology leader with 9+ years driving corporate strategy and AI product management at Amazon, Oracle, Rakuten, Cisco & Microsoft — securing VP-level buy-in, owning multi-quarter roadmaps, and converting frontier technology into million-dollar revenue growth and lasting organizational change.
I lead at the seam where deep technology meets business strategy. Over 9+ years, I've moved from building the models to defining the roadmaps that fund them — authoring 45 business cases that secured VP-level approval for 12 strategic initiatives across Amazon's Retail, Devices, Prime Video and AWS organizations.
My work is measured in outcomes the C-suite cares about: a $20M ARR portfolio at Oracle, 44% CTR and 16% revenue lift from AI personalization at Amazon, a 3× reduction in operating expense for 70M customers, and go-to-market cycles shortened by 25%. I translate complex AI/ML architectures into scalable business value and long-term organizational change.
Equally, I build the teams that deliver it. I've mentored 51 engineers across 7 teams, led talent development and change management, introduced recognition programs and hackathons, and set the AI product vision for entire organizations. My STEM MBA at Ohio State's Fisher College — where I'm a Leadership Fellow and Graduate Assistant — formalizes the finance, strategy and product-management craft behind that instinct.
I'm now focused on strategy, product and management consulting roles where I can pair rigorous, data-driven decision-making with the ability to rally cross-functional teams around an ambitious vision.
Framing ambiguous problems, sizing markets, and building the business case that wins executive buy-in.
Owning the full product lifecycle — turning GenAI and ML capability into scalable, monetizable products.
Building high-performing teams and driving change that endures long after a project concludes.
Each role framed as it would be in a consulting case: the context, the numbers, and what I actually drove.
Set AI product strategy and led cross-functional execution across AWS, Amazon Pay, Kindle, Prime Video & Retail Science — from annual roadmap to production launch.
Owned product strategy and delivery for enterprise document-intelligence and healthcare-data verticals — from team charter to client acquisition.
Applied computer vision to telecom-infrastructure monitoring, turning a manual field process into an automated, revenue-generating capability.
Built predictive analytics that protected a global collaboration service from costly outages.
Explored the frontier of human-computer interaction in a healthcare research setting.
The full breadth of skills I bring to strategy, product and leadership engagements.
Great strategy comes from uncovering the real challenge behind the stated one. I frame ambiguity into structured, testable hypotheses before committing resources — the same instinct that turned 45 business cases into 12 funded initiatives.
Rational, evidence-based decision-making under uncertainty is the core of the craft. I pair quantitative rigor with the judgment to move decisively once the data points the way.
Mentoring 51 engineers and running recognition programs taught me that durable results come from teams that grow. I invest in talent, coaching and a culture of path-breaking work.
I care about the long-term scalability of a solution and lasting organizational change — delivering results that endure long after a project concludes, not just the quarterly win.
Whether it's an AI product strategy, a go-to-market plan, or a consulting engagement — I'd welcome the conversation.