Leads the design and operation of highly available, scalable, and observable production infrastructure. Defines SLOs, error budgets, and reliability targets; drives incident response, root-cause analysis, and postmortems; develops automation and deployment tooling; champions monitoring and observability; evaluates platform technologies; and mentors engineers. The role also applies secure AI-assisted engineering practices to improve incident triage, testing, and delivery workflows.

Lead a team of controls professionals to translate AI behavior into actionable controls, prototype scalable AI/automation controls, run red-team exercises, steward AI control standards, and engage senior stakeholders to prioritize and deploy AI-enabled control solutions across Asset & Wealth Management.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.