San Francisco Bay Area
Enterprise platform and AI leader focused on turning complex, fragmented environments into scalable, AI-ready operating systems that perform reliably in production. Most recently, I led Starbucks’ FY25–26 enterprise platform and AI roadmap, partnering directly with VP/SVP leadership to sequence 30+ initiatives across AI/GenAI, AIOps, identity, and platform governance. This work resulted in production AI systems automating 750K+ annual service interactions, materially improving reliability, MTTR, and operator productivity. My background spans principal-level product, platform, and technical program leadership across ServiceNow ecosystems, AWS-based cloud platforms, enterprise data, and AI-enabled automation. I operate comfortably across executive strategy and hands-on execution, ensuring platforms scale without compromising security, reliability, or accountability. In parallel with enterprise roles, I build and advise on governance-first AI and platform systems, including StrataLayer.ai, a semantic normalization and control-plane concept designed to improve trust, auditability, and operational resilience in AI-assisted environments. I’m currently open to: - High-impact ServiceNow platform engagements - Director or Principal-level full-time leadership roles I do my best work in environments where scale, reliability, and accountability are non-negotiable, and where AI and automation are expected to deliver measurable results in production.
The next AI platforms won’t win on models—they’ll win on structure, trust, and control. We’re building in that direction—quietly, on purpose. Coming soon. Patent Pending
Independent platform and AI consultancy supporting Fortune 500 and high-growth enterprises through large-scale platform modernization, AI enablement, and governance-first transformation. Operated as a trusted advisor and hands-on delivery leader for VP/SVP stakeholders responsible for enterprise platforms, automation, and reliability. Scope & Impact • Led 250+ enterprise platform initiatives across ServiceNow ecosystems, cloud platforms, automation, and AI-enabled workflows. • Served as principal operator and strategic advisor to executive stakeholders on platform modernization, governance models, and AI adoption at scale. • Delivered consistent, measurable outcomes, including 30–40% increases in platform adoption, 70% reductions in proof-of-concept cycle time, and material cost, risk, and operational complexity reduction. • Designed and implemented governance-by-design patterns enabling AI, automation, and data platforms to scale safely within regulated and high-availability environments. Selected Contributions • AI & AIOps Enablement: Developed reusable architecture patterns and operating playbooks for AI-first platform adoption, improving observability, reliability, and operational efficiency. • Enterprise Roadmap Leadership: Partnered with executive sponsors to define and sequence multi-year transformation roadmaps, aligning platform consolidation, automation, and AI initiatives to business outcomes and funding decisions. • Platform Governance Foundations: Established CMDB health, service mapping, and observability frameworks that improved scalability, upgrade readiness, and long-term platform sustainability.
• Owned enterprise SaaS platform governance, AI enablement, and inbound roadmap execution across IT, HR, and Operations, defining product requirements, user personas, and work processes to drive concept-to-launch delivery at global scale. • Partnered directly with VP/SVP leadership to sequence 30+ initiatives into an executive-approved FY25–26 investment roadmap, aligning platform capabilities to funding, GTM readiness, adoption, and operational KPIs. • Led cross-functional delivery of AI-enabled automation and event intelligence platforms, integrating AWS Bedrock and ServiceNow to automate 750K+ annual service interactions, reduce operational noise by 80%, accelerate incident response by 45%, and materially improve administrator productivity. • Authored and executed an AIOps and Event Intelligence strategy, consolidating observability, monitoring, and remediation workflows to target 25–35% fewer P1 incidents and 45% faster MTTR in production environments. • Strengthened enterprise platform foundations—including identity and access management, CMDB health, service mapping, observability, and metadata—to support AI-first, security-aware operations across a multi-tenant global environment. Impact: Enabled AI-first platform transformation at global scale, improving reliability, productivity, and executive confidence in enterprise platform operations through governance-driven AI and platform security design.
• Directed enterprise HR and IT platform modernization, AI/automation enablement, and executive technology strategy, supporting VP/SVP stakeholders across HR, IT, and digital transformation programs. • Led the establishment of an HR innovation hub integrating AI, workflow automation, and data-driven insights, reducing HR plan-to-action cycle time by 62% and lowering inquiry volume by 40% through automation and intelligent case routing. • Expanded ServiceNow HRSD and ITSM capabilities while strengthening CMDB integrity, workflow standardization, and governance, improving scalability, compliance, and cross-domain efficiency. • Partnered with senior HR, IT, and business leaders to prioritize transformation initiatives, align platform strategy to enterprise objectives, and secure executive investment for platform-led change. Impact: Enabled a data- and AI-driven HR technology ecosystem, reduced operational friction, and positioned the organization for enterprise-scale workflow automation and platform consolidation.
Served as a trusted advisor to Fortune 500 executives, driving cloud modernization, AI adoption, and enterprise platform strategy across IBM’s hybrid cloud and AI portfolio. Partnered with VP/CIO stakeholders to align technology roadmaps with business priorities, accelerate digital transformation, and deliver measurable outcomes. Key Achievements: AI & Hybrid Cloud Strategy: Guided enterprise adoption of AI/ML solutions and hybrid cloud platforms, enabling clients to integrate automation and predictive analytics into IT and business workflows. Executive Advisory Engagements: Led C-suite briefings and roadmap sessions, aligning transformation initiatives to business outcomes and securing executive sponsorship for enterprise-scale programs. Platform Modernization Leadership: Delivered architectural blueprints for cloud-native platforms, integrating IBM Cloud, AWS, Azure, and ServiceNow ecosystems to improve scalability and reduce costs. Innovation Center Development: Designed and implemented innovation labs and proof-of-value accelerators, reducing POC cycle times by 50% and expediting enterprise AI/automation adoption. Cross-Industry Impact: Supported clients across healthcare, finance, and retail, advising on regulatory compliance, data governance, and AI-first platform enablement. Impact: Positioned IBM as a strategic partner in clients’ AI-first transformation journeys, driving improved operational efficiency, scalability, and enterprise adoption of hybrid-cloud platforms.