Executive Engineering Leader and Client Partner, Financial Services
25 years translating technology decisions into revenue, cost, and risk outcomes for Fortune 100 leadership teams.
Serving clients from New York and Dallas
The questions leadership teams bring me.
Sequenced migrations, such as Sybase to Snowflake, delivered while systems stay live.
Business cases built on measured productivity and cost data.
Private AI, data residency, and governance designed in from day one.
Hyperscaler co-investment that funds new programs without new client budget.
Outcomes from engagements I owned or helped lead.
Engineering and data-led growth across three of the largest US banks, reporting to the CTO, Americas, with co-investment from two of the top three hyperscalers.
500-person portfolio for Mitchell International (now Enlyte): 300+ services modernized, NPS up ~20%, penalties down $5M, 99% uptime.
Aligned technical leadership and sales behind one plan across cloud, AI, analytics, and security for Healthcare and Hi-Tech clients.
Including Wipro's acquisition of SAIC's commercial business, Mitchell's combination into Enlyte, and Cigniti's acquisition by Coforge.
AI pays off in the operating model, not the pilot.
Returns come when workflows, roles, and controls change around the model.
In regulated industries, governance is a speed advantage.
Settle data residency and model risk early, and nothing stalls at the last gate.
Good modernization pays for itself as it goes.
Retiring licenses and legacy run costs early funds what comes next.
Europe, then North America, across 25 years.