Technology, Data & Transformation Leader — Engineering · Analytics & Data Science · AI/ML · Enterprise Automation · Builder-Operator
Technology and transformation leader with 20+ years delivering enterprise-scale outcomes across engineering, analytics, AI/ML, cloud, SRE, and automation at Fortune 500 and Global 2000 consulting and technology enterprises. Pairs executive partnership and P&L ownership with hands-on technical depth — Python, SQL, statistical analysis, applied machine learning, and production system design. Postgraduate-trained in Data Science, AI & ML (UT Austin). Currently owns a $2M+ portfolio contributing to $100M+ in annual client revenue, operating at Director level across cross-functional teams of 20+. A genuine builder-operator: designs and scales organizations while still shipping software himself — including a quantitative investment-analytics platform and a 20K-line multi-tenant AI application. Known for turning ambiguous business problems into measurable, data-backed results, and for a process-first discipline (Standardization → Optimization → Automation) that avoids scaling broken workflows.
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Engineering Strategy & North Star, Org Design, Team Scaling, Hiring/Coaching & Career Ladders (teams to 180), Cross-functional Leadership, P&L / ROI / Investment Planning, Executive Partnership (CTO / Product / ML / Sales / VP / CXO), RFP / Solutioning / Demos
Statistical Analysis, Risk/Return Modeling (Sharpe, Volatility, Drawdown), Metric & KPI Design, Recommendation Systems, Experimentation Mindset, Data Modeling, Dashboards & Data Products
Applied ML (PGP), GenAI / Agentic AI, LLM Applications, Intent Classification, Document Generation, Responsible AI / AI Governance, Claude / GPT-4o, OpenAI / Anthropic
RPA — UiPath (Process Mining, Maestro, Agentic AI) & Blue Prism, Lean Transformation (Lean Certified), Design Thinking, Standardization → Optimization → Automation
SDLC, QA & Security (DAST, SAST, Penetration Testing, Vulnerability Remediation), SRE / SLA / SLO / Reliability, Observability & CI/CD, Engineering Metrics & Delivery Health, Microservices, Multi-tenant Architecture
Python, SQL, Pandas / NumPy, FastAPI, REST APIs
AWS, Azure, Cloud Architecture, SAP HANA Environments
Engineering Governance, Security & Compliance, SOC Audit Readiness, Business Continuity / Disaster Recovery
Enterprise AI & Automation Lead (Director-level)
Associate Director — Transformation SRE
Senior Delivery Manager — Cloud Infrastructure
IT Manager — Infrastructure & Transformation
Demonstrates: statistical analysis, data modeling, recommendation / decision-support systems, and analytics-product design.
Demonstrates: production Python, system and data architecture, applied AI, and engineering rigor.
Demonstrates: PII detection, data anonymization, and privacy/compliance-by-design engineering.
Demonstrates: static site generation, dependency/impact analysis tooling, SAP domain expertise, and applied LLM assistance for enterprise documentation.