Experience
Technology executive spanning strategy, architecture, delivery, innovation, and modernization
Thirty years leading technology across strategy, architecture, delivery, infrastructure, data, and AI. The throughline has stayed consistent: connect technology direction to the business, modernize with discipline, and build teams that can turn change into results. A lot of that work has been in life insurance and other complex environments where resilience, follow-through, and practical judgment matter every day.
30+
Years Technology Leadership
Across strategy, architecture, delivery, innovation, and modernization
$40M+
Active Technology Portfolio
Spanning platforms, data, infrastructure, security, and AI
150+
Technology Team
Across architecture, data, infrastructure, security, and delivery
15+
Years in Life Insurance Technology
Deep experience in regulated enterprise environments
A few examples
01 / Innovation
AI & Data Transformation
Moved AI from experimentation into day-to-day delivery by pairing governance with practical adoption across engineering and business teams.
02 / Foundation
Hybrid Compute Strategy
Shaped a hybrid compute model that balances speed, cost, resilience, and what the business actually needs.
03 / Transformation
Legacy Modernization
Led long-horizon modernization of core life insurance platforms while keeping the business running and the customer experience improving.
How I approach it
The pattern from client-server to cloud to AI has been the same: learn the shift early, keep what is useful, and translate it into something the business can actually use.
Selected outcomes
Work that changed how teams operate
A few of the outcomes that define the work: moving strategy into delivery, modernizing core platforms, and helping teams keep up with the pace of change.
AI & Data Transformation
Moved AI from experimentation into day-to-day delivery by pairing governance with practical adoption across engineering and business teams.
- Established AI governance that supports adoption instead of slowing it down
- Rolled out GitHub Copilot Enterprise with delivery practices teams could actually use
- Designed a multi-platform AI reference architecture across Vertex AI, Bedrock, Copilot Studio, and LangSmith
- Built AI-enabled SDLC patterns and training programs for development teams
- Created internal agent workflows for executive planning and productivity
Hybrid Compute Strategy
Shaped a hybrid compute model that balances speed, cost, resilience, and what the business actually needs.
- Matched workloads to cloud or on-premises based on fit, risk, and cost
- Reduced infrastructure drag through clearer workload placement standards and simpler infrastructure choices
- Strengthened resilience expectations for critical insurance systems
Legacy Modernization
Led long-horizon modernization of core life insurance platforms while keeping the business running and the customer experience improving.
- Guided architecture decisions across 14+ years of platform modernization
- Expanded integration patterns across SaaS, cloud, and on-premises systems using REST APIs
- Set development standards that reflect how teams build with AI-assisted workflows today
Enterprise Architecture & Integration
Built an architecture practice that gave teams clearer standards, better integration patterns, and room to modernize without improvising every decision.
- Established architecture standards and governance teams could use in practice
- Applied ACORD standards to make insurance integrations cleaner and more consistent
- Advanced SOA and event-driven patterns to support newer digital capabilities
- Created API guidance that improved integration quality across platforms
Cybersecurity & Regulatory Readiness
Kept infrastructure and security decisions grounded in resilience, regulatory expectations, and the realities of running a financial services platform.
- Strengthened cybersecurity posture across the technology portfolio
- Kept architecture and delivery practices aligned with regulatory expectations
- Embedded security-by-design into platform and development decisions
Expertise
Areas of Deep Experience
Core Expertise
Technology Leadership
30+ yearsLeading technology organizations through change while keeping standards, trust, and execution intact.
Enterprise Architecture
20+ yearsUsing architecture to make delivery clearer: better boundaries, better decisions, less reinvention.
AI & Machine Learning Strategy
5+ yearsMoving AI from experimentation into governance, tooling, and delivery habits teams can actually use.
Digital Transformation
20+ yearsModernizing platforms and ways of working without getting in the way of the business that still has to run every day.
Data Strategy & Analytics
15+ yearsImproving how data is governed, structured, and used so decisions are faster and better informed.
Integration Architecture
20+ yearsDesigning APIs, events, and shared standards so systems work together without constant custom fixes.
Life Insurance Domain
15+ yearsDeep experience with the products, processes, and constraints that actually shape life insurance technology.
Additional Expertise
Cloud Computing
10+ yearsShaping hybrid cloud choices around fit, cost, resilience, and what teams need day to day.
Cybersecurity & Risk
10+ yearsKeeping security, resilience, and regulatory expectations close to architecture and delivery decisions.
Agile & SAFe
15+ yearsUsing agile practices to improve flow, clarity, and execution instead of turning the process into the product.
Software Development
25+ yearsHands-on development background that still informs how code, tooling, and AI-assisted workflows should work.
IT Infrastructure
20+ yearsGrounding platform decisions in the realities of compute, network, availability, and recovery.
Leadership & Behavioral Strengths
These are the patterns people tend to see in how I lead: clear thinking, direct communication, adaptability, and a preference for getting real work done.
Strategic Judgment
Cuts through hype and gets back to the business decision underneath it.
Change Leadership
Helps teams move through change with clarity, steadiness, and practical follow-through.
Talent Development
Builds leaders, not just org charts, by setting standards and creating room for people to grow.
AI Fluency
Knows where AI creates real leverage, where it does not, and what guardrails keep it useful.
Critical Thinking
Pushes on weak logic, hidden assumptions, and easy answers.
Adaptability
Comfortable learning new technology without losing sight of the basics that keep teams and systems working.
Communication
Translates technology direction into language executives, architects, and delivery teams can all use.
Continuous Learning
Keeps learning close to the work so strategy stays current and useful.
Career path
How the work evolved
I started in hands-on infrastructure work and gradually moved into broader architecture and technology leadership roles.
The pattern from client-server to cloud to AI has been the same: learn the shift early, keep what is useful, and translate it into something the business can actually use.
The Foundation Years
Built the technology foundation for a growing software company and learned early what it means to own the whole stack.
→ Moved from hands-on operator to technology leader with a bias for practical execution.
Enterprise Technical Depth
Spent the decade getting deeper into middleware, integration, and architecture work inside larger enterprises.
→ Built the architecture and integration judgment that shaped later executive roles.
Architecture & Data Leadership
Led architecture and data management through cloud, integration, and modernization work at enterprise scale.
→ Built a practice that helped teams make better technology decisions across a long transformation cycle.
Technology Officer
Bringing AI, architecture, infrastructure, and modernization into one technology agenda for NYL Direct.
→ Leading the next phase of technology change with equal attention to speed, resilience, and business continuity.
Leadership
How I Lead
Strategic Alignment
Tie major technology work to a business decision, not just a delivery plan
Innovation with Pragmatism
Push forward on AI and modernization without losing sight of core systems, controls, and day-to-day reality
Team Empowerment
Give teams clear standards, better tools, and enough context to make good decisions without waiting for permission
Data-Driven Decision Making
Use evidence, team feedback, and what is actually happening on the ground to guide strategy instead of guessing
Recognition
What Others Say
Endorsement Themes
Strategic Vision
Recognized for solid strategic view and clear direction for technology teams
Professional Ethics
Noted for high level of ethical and professional behavior
Communication
Praised for solid, useful communication style and reasonable expectations
Independence & Reliability
Known for working independently and delivering results consistently
Certifications
The Data Scientist's Toolbox
2022-05Johns Hopkins University
Customer Analytics
2022-05University of Pennsylvania
People Analytics
2022-05University of Pennsylvania
Managing Data Analysis
2022-05Johns Hopkins University
Operations Analytics
2022-05University of Pennsylvania
A Crash Course in Data Science
2022-05Johns Hopkins University
Introduction to Platform Engineering
2026-03PlatformEngineering.org
Google AI Professional Certificate
2026-02SAFe (Scaled Agile Framework) Program Consultant (SPC)
2014-03Scaled Agile, Inc.
Start the conversation
Open to thoughtful conversations about technology, transformation, or anything else
If something on the site connects with what you are thinking about, exploring, or building, I am always open to the conversation.