Strategic Focus: Executive Briefs & Research
Enterprise Transformation
Nearshore Delivery at Scale: Built Mexico City nearshore hub, shifting 70% of engineering headcount to improve agility and reduce offshore/contractor models.
Product-Oriented Culture: Transformed delivery from ticket-taker to product model, increasing deployment frequency by 300% (monthly to weekly).
C-Suite Partnership: Aligned multi-year digital roadmaps with revenue targets, securing executive budget approval for transformation programs.
Applied AI
Decision Intelligence: Architected Text-to-SQL framework enabling natural language data querying with 100% data isolation deployed within a live microservices ecosystem.
AI Center of Excellence: Founded and scaled the Innovation team (AI CoE), delivering production AI across sales, pricing, and warehouse workflows.
Model Governance: Established LLM-agnostic governance frameworks to ensure responsible, auditable AI deployment at scale.
Data Strategy & Intelligence
Modern Data Architecture: Overseeing Snowflake-based data modernization with end-to-end data lifecycle ownership and a major data-integrity initiative.
Enterprise KPI Standardization: Deployed Power BI dashboards across all business units, aligning AI initiatives with P&L metrics.
Real-Time & Predictive Insights: Designed architecture to support shift from historical reporting to real-time, predictive operational intelligence.
AI Adoption Science
Doctoral Research: Investigating critical success factors for frontline AI adoption in complex enterprises, with a focus on human-machine interface and multimodal learning.
Strategic Change Management: Analyzing institutional resistance patterns and leadership behaviors that drive or stall enterprise-wide AI adoption curves.
Practitioner-Researcher Bridge: Actively applying TAM/UTAUT adoption frameworks to real-world deployments, closing the gap between academic theory and enterprise execution.
Read: AI Adoption Isn’t A Technology Problem: Why Making Work Easier, Can Make Learning Harder.