Professional Summary
Strategic AI Architect and technical leader with 12 years of experience driving enterprise analytics, data platform modernization, and AI transformation initiatives. Trusted partner to executive and business leadership for identifying, quantifying, and operationalizing AI opportunities ranging from intelligent automation to fully agentic systems. Recognized for translating complex data science and engineering concepts into measurable business outcomes through governance, scalable architecture, and product-focused delivery.
Core competencies: Enterprise AI strategy, agentic AI architecture, RAG systems, AI governance, technical roadmap development, executive partnership, automation, data leadership.
May 2014 – Present Decade-plus of leadership progression through Marketing Analytics, BI, and AI.
Lead AI & Agentic Solutions Architect
(Lead BI Developer) | Dec 2023 – Present
Enterprise lead driving change from BI to agentic AI systems and governed engineering standards.
- Strategic AI Consulting: Serve as a cross-functional thought leader, providing technical expertise and strategic guidance to 14 business units seeking to develop and implement production-ready AI solutions across the organization.
- Technical Governance & Enablement: Established enterprise governance frameworks for AI development, Python engineering, and Power Platform usage, enabling rapid and safe innovation. Transformed a decentralized development culture into unified CI/CD workflows, reducing failures and standardizing code quality across 10 engineers and 250+ citizen developers.
- AI Orchestration: Architected “CommentGPT,” Uline’s first enterprise AI agent analyzing 2M+ annual customer comments in near-real time. Reduced time to identification of critical shortcomings across product, service, shipping, and technology by 98% (two days to one hour) and provided a lift in caught issues by over 31%.
- RAG Architecture: Deployed a production-scale RAG architecture handling 2.5M annual customer service procedure queries. Reduced employee time-to-answer by 73% and decreased internal helpline escalations by providing instant, cited answers across the knowledge base.
- Data Platform Leadership: Led discovery, onboarding, and training for various cloud resources and platforms such as Microsoft Foundry, Azure Databricks, and Vertex AI (Google Cloud).
Senior Business Intelligence Developer
Mar 2021 – Dec 2023
Senior technical leader focused on enterprise AI readiness, automation, and data platform strategy.
- Enterprise AI Roadmap: Spearheaded the organization’s initial enterprise AI roadmap. Designed and socialized early Proof of Concepts using Azure OpenAI, securing executive buy-in and budget for the establishment of the current AI function.
- Operational Efficiency & AI Readiness: Developed Python-based productivity tools reducing Data Warehouse discovery timelines by 66% (from 3 months to 1), accelerating enterprise data readiness for AI.
- Strategic Data Governance: Key voice on the Data Steward Steering Committee, bridging the gap between IT and Business leadership to define data standards required for ML/AI adoption.
- Machine Learning Implementation: Engineered production NLP classification models, automating manual workflows reclaiming 1,200+ annualized hours for high-value analysis.
Database Marketing Manager
Jan 2018 – Mar 2021
Head of Analytics for a $500M marketing budget, reporting directly to VP of Customer Development.
- Organizational Leadership: Managed the centralized analytics function supporting a 100-person department. Recruited and developed a high-performing team of 5 analysts, establishing rigorous ROI reporting standards.
- Technical Strategy: Identified a critical gap in vendor capabilities and self-architected internal automation pipelines using R and Python to support acquisition goals.
Digital Advertising/Marketing Analyst
May 2014 – Dec 2017
Technical analyst managing financial optimization and predictive analytics.
- Financial Optimization: Optimized over $9.5 million in annual digital advertising spend using budget optimization models built with linear programming.
- Predictive Analytics: Implemented several machine learning models influencing marketing decisions including customer churn, expected lifetime value, and market basket analysis.
Selected Technical Consulting
J&J Consulting Inc.
Nov 2019 – Feb 2021
Data science consultancy delivering end-to-end predictive analytics for private clients.
President / Principal Consultant
- Strategic Solution Delivery: Translated abstract business problems into concrete technical requirements, delivering production-ready code that automated manual analytical workflows and allowed employees to focus on high-value human interactions rather than data entry.
- Full-Stack Data Science: Built complete predictive analytics pipelines using Azure ML, Python, SQL, and Git, managing the full development lifecycle from data ingestion to deployment.