Experience Arc
Built at global scale, where no blueprint existed.
Nearly two decades inside one of the world's most complex technology enterprises — most recently at executive director-level scope leading enterprise AI strategy, digital platform governance, and multi-domain programs affecting all 140,000+ employees across every region.
Governance architecture · Ownership systems · Cadence · Accountability
Current scope
Technical Leader, Executive Director-Level
Global enterprise technology company · San Jose, CA · 140,000+ employees worldwide
Leading enterprise-scale IT and digital platform strategy across observability, automation, analytics, and emerging AI systems — with global reach affecting all employees across every region. Operating in an environment with no existing playbook: defining the approach, building the governance, and operationalizing from scratch.
Currently leading an enterprise AI and robotics initiative with no existing precedent — defining the governance model, technology selection, procurement, vendor engagement, platform integration, security alignment, and approval workflows from the ground up, at global scale.
Partnering across IT, Information Security, HR, Facilities, Real Estate, Branding, Legal, and Communications to align AI and IT strategy with business priorities and workforce impact across every region. The work spans the full program lifecycle: strategic planning, technology evaluation, secure deployment, operationalization, and long-term governance — in environments where the path has to be built as you walk it.
What I've built
AI Operating Models
Established AI risk controls, approval workflows, and governance frameworks enabling responsible, scalable deployment across a regulated enterprise environment.
Executive Briefing Infrastructure
Designed and launched executive-facing technology enablement environments used in dozens of senior leadership and external briefings annually — improving clarity and alignment on enterprise IT and AI strategy.
Cross-Functional Ownership Systems
Built governance structures and operating models intentionally designed for handoff, sustainability, and evolution beyond individual leadership — programs that survive the next reorg.
Multi-Domain Program Leadership
Owned complex, multi-domain programs from strategic planning and technology evaluation through secure deployment and long-term governance in security, privacy, and compliance-sensitive environments.
The arc
The path from Business Systems Manager through Program Manager and Customer Success to enterprise AI strategy wasn't incidental — each layer added a different vantage point on how large organizations actually absorb change.
Business systems work taught where the friction lives. Program management taught how accountability diffuses. Customer success taught what adoption actually means at the ground level. Enterprise AI strategy is where all of it converges — usually in situations where no one has done it before at this scale, and the first task is figuring out what the task actually is.
Most of the work I'm drawn to has no blueprint. The operating model doesn't exist yet. The governance structure needs to be invented. The stakeholders haven't aligned on what success looks like. That ambiguity isn't a problem to solve before the work begins — it's the medium the work happens in.
The conviction that came out of that arc: modernization that depends on a single leader or moment of enthusiasm doesn't last. The work is designing systems — governance, ownership, cadence — that compound after you step back.
Leadership philosophy
Enterprise-focused, governance-first. AI and digital transformation succeed only when innovation, risk management, data stewardship, and human impact are addressed together.
Comfortable operating in highly regulated, mission-critical environments requiring transparency, accountability, and executive trust.