Principal AI & Data Solutions Architect

Enterprise Architecture & Governance: Guide internal platform consumers on optimal data architecture patterns, ensuring robust compliance through strict adherence to Data Privacy by Design and Application Rationalization.

Applied AI & Productivity: Proactively identified operational bottlenecks and engineered custom AI productivity solutions using Task Decomposition to accelerate Power BI Semantic Models and generate self-service DAX metrics for FinOps.

Autonomous Workflows: Designed and deployed agentic systems utilizing Specification Precision to automatically map internal business capabilities against the APQC classification system.

Process Automation: Created specialized AI agents to streamline internal communications and automate team deliverable reporting, converting complex manual processes into efficient autonomous AI-driven systems.

Cloud & Platform Optimization: Oversee the expansion of Databricks partner capabilities while architecting Artificial Capable Intelligent Systems engineered for autonomous FinOps insights and cloud cost optimization.

Operated as a fractional Data & Solutions Architect, advising enterprise clients on modern data strategies, analytics roadmaps, and advanced BI implementations.

Architected and engineered end-to-end data lake and data warehousing solutions leveraging Azure Cloud, SQL, and Python/R analytics.

Transitioned clients away from poor legacy data practices by implementing strict Data Governance principles and establishing scalable organizational processes.

Designed and deployed production-grade BI platforms and dashboard visualizations to enhance advanced analytics insights for leadership teams.

Enterprise Data Governance & GDPR: Developed enterprise-wide data capabilities and established rigorous governance best practices, playing a critical role in driving structural changes for GDPR compliance across the department.

Infrastructure Modernization: Architected and modernized the analytics infrastructure for the Research and Data Analytics (RDA) division, delivering highly optimized reporting solutions that achieved a 90% reduction in processing time.

Advanced Analytics & Prototyping: Spearheaded technology prototypes within a secure government environment, integrating R as the core data analysis infrastructure and deploying the ELK stack for widespread government adoption.

Strategic Capacity Building: Strengthened the core data analysis capabilities of the Irish National Immigration Services (INIS), translating complex legacy data into actionable, secure intelligence.