Teams at TIAA

Leads enterprise endpoint cybersecurity engineering across Windows, macOS, Linux, VDI, and server environments. Designs, deploys, troubleshoots, tests, and optimizes endpoint security applications, agents, deception frameworks, and AI detection and response capabilities. Coordinates complex incidents, validates integrations with EDR/XDR, SIEM, SOAR, and identity systems, performs performance and regression testing, develops technical standards and runbooks, and provides go/no-go recommendations and technical leadership.

Leads end-to-end IT and AI audit engagements, including planning, risk assessment, control testing, cloud and cybersecurity reviews, findings documentation, and client communication. Evaluates AI systems, data flows, infrastructure, operating procedures, and third-party risks. Mentors staff auditors, partners with data analytics teams, supports regulatory reviews, and recommends process improvements while maintaining expertise in IT governance, cybersecurity, AI, and regulatory standards.

Assesses IT control design and operating effectiveness across audit planning, fieldwork, reporting, risk assessment, and remediation testing. Documents findings, evaluates technology risks, communicates concerns to audit and client stakeholders, and supports timely delivery within audit budgets. The role requires critical thinking, collaboration, knowledge of IT audit methodology, and continuous development in technology trends, cybersecurity, data analytics, and regulatory controls.