Enterprise AI & Data Strategy, from Roadmap to Platform
16+ years helping enterprises assess where they are, define where they're going, and architect the platforms to get there
16+
Years Experience
Technologies I Work With
16+ years helping enterprises assess where they are, define where they're going, and architect the platforms to get there
Transforming enterprise complexity into competitive advantage through end-to-end data expertise
Understanding the entire data lifecycle—from operational systems through analytics and AI—enables me to architect solutions that eliminate organizational silos, optimize data flow, and unlock value at every stage. This comprehensive perspective ensures your data investments deliver compounding returns across the enterprise.
I actively design and build production AI tools and intelligent agents that solve real business problems. From automating complex workflows to extracting insights from enterprise data, my AI solutions are engineered for measurable ROI—not proof-of-concepts, but production systems that drive value from day one.
Delivering measurable outcomes for Fortune 500 companies and government agencies: 70% reductions in operational overhead, thousands of hours automated, and data platforms that empower hundreds of users. My track record demonstrates the ability to execute complex transformations that deliver sustained business value.
A unique perspective shaped by experience across every stage of data management
Started my career building systems of record from the ground up. Developed full-stack applications that created and managed operational data, understanding firsthand how data originates and flows through enterprise systems.
Transitioned to the consumer side, building analytics solutions and business intelligence dashboards. Learned what makes data valuable to decision-makers and how to transform raw data into actionable insights.
Moved to the critical middle layer, designing and building data warehouses that bridge operational systems and analytics. Mastered ETL processes, data modeling, and creating scalable architectures for enterprise data consumption.
Led the development of a domain-driven operational data store for a major financial institution, applying modern architectural patterns and data mesh principles to create scalable, decentralized data solutions.
My comprehensive technical background across the entire data lifecycle uniquely positioned me to build agentic AI systems and enterprise automations. Leveraging deep data expertise to create AI agents that drive productivity, accelerate time to value, and transform how businesses operate.
Partnered with executives to assess their data and AI maturity, then translate findings into actionable strategy. Conducted current-state assessments across data platforms, governance, and AI readiness, identified high-value opportunities, and mapped them to prioritized roadmaps leadership could fund and execute. Delivered strategy grounded in Snowflake as the core data platform, turning broad AI aspirations into sequenced, achievable plans tied to business outcomes.
Moved from defining the strategy to architecting the platforms that bring it to life. Design and build scalable, cloud-native data platforms on Google Cloud Platform that operationalize enterprise data and AI initiatives, working alongside implementation teams to ensure the architecture holds up in delivery. Serve as a player-coach, translating executive vision into technical blueprints and guiding engineering teams through execution.
This unique journey through every phase of the data lifecycle gives me a rare, holistic perspective. I understand the challenges at each stage, from developers creating data, to engineers transforming it, to analysts consuming it, to the AI agents now built on top of it. Today that end-to-end foundation powers how I help enterprises assess where they are, shape actionable AI and data strategy, and architect the scalable platforms that bring it to life.
Strategic initiatives that delivered enterprise-scale impact
Large-scale data modernization projects required thousands of manual hours analyzing legacy codebases to identify data sources, lineage, and transformation logic—creating bottlenecks in platform upgrades.
Built an AI-powered tool leveraging generative AI to automatically scan enterprise codebases, extract data dependencies, and generate contextual metadata. The system produces executive-ready reports summarizing architectural risks and modernization opportunities.
Invesco's transition to State Street Alpha required coordinating data across 15 business teams using decentralized spreadsheets, causing version conflicts, data quality issues, and manual reconciliation bottlenecks.
Designed and implemented a scalable Snowflake-based business data system with a user-friendly front-end interface, enabling non-technical users to securely manage their data. Established data governance and ownership models across business units.
The Member Communication initiative was experiencing critical message delivery failures and missed SLAs due to limited visibility into system performance. Existing platforms couldn't support the required scale of operational reporting.
Led strategic assessment revealing platform gaps, advised executive leadership to secure funding for a dedicated data warehouse. Directed a team of 9 consultants to design and implement the solution, transforming operational data into actionable insights.
As generative AI emerged, organizations needed guidance on practical enterprise applications beyond the hype. Teams required education, tools, and frameworks to adopt AI responsibly and effectively.
Gained early access to OpenAI's GPT-3 beta and introduced generative AI to CapTech's Data and Analytics practice. Led firm-wide discussions positioning the company ahead of AI trends. Mentored and coached a team of 7 practitioners in AI applications.
Strategic capabilities backed by hands-on technical delivery
Validated proficiency in working with Claude, including effective prompting, practical application of large language models, and building AI-powered solutions with Anthropic's models.
Foundational knowledge in generative AI technologies, including large language models, prompt engineering, and AI application development on the Databricks platform.
Core understanding of AI and machine learning concepts on Azure, including cognitive services, computer vision, natural language processing, and conversational AI solutions.
Comprehensive knowledge of core data concepts, relational and non-relational databases, data warehousing, and analytics workloads on the Azure cloud platform.
Expertise in applying human-centered design methodologies to enterprise challenges, focusing on stakeholder alignment, iterative problem-solving, and user experience optimization.
Interested in discussing AI strategy, data transformation, or potential collaboration?