Outcome-led AI & Data leadership for enterprise scale
Partnering with CIOs, CDOs, and AI/EA leaders to convert AI ambitions into lasting, production-ready capabilities—rooted in strong data discipline, governance, and real-world execution.
Last 5 years: heavily AI-focused • Last 3 years: GenAI-first
Core Focus
AI & Data Strategy
Enterprise roadmaps that connect business outcomes to architecture and execution.
Governance + Operating Model
Decision rights, RACI, intake, and guardrails—so programs scale beyond pilots.
Technology that Ships
Target architectures (RAG/agents/evals/guardrails), patterns, and delivery plans built for real constraints.
AI programs fail for predictable reasons: unclear decision rights, weak data foundations, governance that arrives too late, and solutions designed for demos instead of production. Leadership teams need AI to be operational—measurable, governable, and reliable—while staying vendor-neutral and aligned to the organization's long-term interests.
Proven Track Record
Built cloud migration mechanisms supporting 700+ application transitions with controlled risk and repeatable patterns
Established AI and data governance foundations (quality, stewardship, decision rights) that enabled scale beyond single use cases
Led modernization programs across multi-team environments with SLAs/SLOs and regulatory constraints
Drove cost discipline through rationalization and FinOps-style controls (without "theater")