Technology Capabilities
Deep Technology Expertise. Executive-Level Perspective.
Technology decisions increasingly span cloud, data, applications, infrastructure, security, automation, and AI.
With 25+ years of experience across technology leadership and transformation, I bring together the strategic perspective of an executive with the practical understanding required to evaluate and lead complex technology environments.
Technology Strategy & Enterprise Architecture
I help organizations establish a technology foundation that supports today's business while preparing for future growth.
Capabilities include:
• Technology strategy and operating models
• Enterprise architecture
• Technology assessments
• Current-state and future-state architecture
• Technology roadmaps
• Application portfolio assessment
• Technology standards and governance
• Vendor and platform evaluation
• Technology investment prioritization
• Legacy technology modernization
Cloud Strategy & Architecture
Deep experience designing, migrating, modernizing, and optimizing cloud environments.
Cloud platforms:
AWS | Microsoft Azure | Google Cloud Platform
Capabilities include:
• Cloud strategy and adoption
• Cloud migration
• Infrastructure modernization
• Application modernization
• Cloud architecture
• Hybrid and multi-cloud environments
• Cloud governance
• Infrastructure as Code
• Cloud security and compliance considerations
• Cloud performance and scalability
• Cloud cost optimization
Data Architecture & Analytics
Build modern data environments that turn information into a business capability.
Capabilities include:
• Data strategy
• Data architecture
• Data warehouses
• Data lakes
• Cloud data platforms
• Data integration
• Analytics platforms
• Business intelligence
• Executive dashboards
• Data governance
• Data modernization
Technology experience includes:
Snowflake and modern cloud data architectures.
AI & Generative AI
Help organizations move from AI experimentation toward practical, business-focused adoption.
Capabilities include:
• AI readiness assessment
• AI strategy
• Generative AI
• AI use-case identification
• Data readiness for AI
• AI infrastructure considerations
• AI governance
• AI adoption roadmaps
Technology experience includes:
AWS AI/ML services including Amazon SageMaker and Amazon Bedrock.
FinOps & Technology Cost Optimization
Technology cost optimization is more than reducing a cloud bill. It requires understanding how technology is consumed, where value is created, and where spending is inefficient.
Capabilities include:
• Cloud cost assessments
• Cost allocation and visibility
• Cost leakage identification
• Resource optimization
• Architecture optimization
• FinOps operating models
• Cost governance
• Technology investment analysis
• Optimization roadmaps
• Ongoing cost management
Infrastructure, Automation & DevOps
Modern technology environments require repeatable, automated, and scalable operations.
Capabilities include:
• Infrastructure modernization
• Infrastructure as Code
• Terraform
• CI/CD
• DevOps
• Cloud infrastructure
• Environment automation
• Deployment automation
• Operational efficiency
• Platform modernization
Applications & Technology Integration
Technology transformation often requires bringing applications, data, and infrastructure together into a cohesive environment.
Capabilities include:
• Application portfolio assessment
• Application modernization
• Enterprise application strategy
• ERP environments
• Salesforce
• Custom applications
• Application integration
• API and system integration
• Technology consolidation
• Post-acquisition integration
Technology Governance, Risk & Compliance
Technology strategy must account for security, regulatory requirements, operational risk, and governance.
Capabilities include:
• Technology governance
• IT risk assessment
• Technology controls
• Cloud governance
• Data governance
• Vendor risk considerations
• HIPAA environments
• 21 CFR Part 11 environments
• Technology compliance considerations
Technology Expertise With a Business Perspective
Technology expertise is most valuable when it is connected to business objectives.
Whether the challenge involves cloud, data, AI, applications, infrastructure, cost, or technology risk, the objective is the same:
Understand the business. Evaluate the technology. Prioritize the opportunities. Build the roadmap. Deliver the outcome.
[Schedule a Conversation]