Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - TMT Sector - Manager - Bay Area

EY•San Mateo, CA

8d•$181,200 - $302,100

About The Position

EY’s Digital Risk practice supports leading Technology, Media & Telecommunications (TMT) companies as they scale cloud-native, AI-enabled, and platform-based operating models. Based in the Bay Area, this Manager role works with high-growth and global technology organizations using microservices architectures and AI-driven engineering environments. The Manager supports risk, compliance, and control transformation across highly automated, continuously evolving ecosystems. The role combines SOX knowledge, cloud architecture understanding, and familiarity with modern software development practices, including AI-assisted coding and product and software development lifecycles (PDLC/SDLC). The Manager works with senior team members and client stakeholders across finance, technology, and engineering to support scalable, audit-ready risk and compliance frameworks. The role owns key workstreams and contributes to engagement execution in cloud-native environments. It includes coordinating delivery, advising teams on technology risk considerations, and designing and evaluating controls across DevOps, CI/CD pipelines, SDLC/PDLC processes, distributed platforms, APIs, microservices, data environments, and AI-enabled systems. Travel of at least 50%, including client-site travel, is required, and extended hours may be needed.

Requirements

Bachelor’s or master’s degree in business, accounting, computer science, engineering, or a related field.
At least 5 years of experience in Digital Risk, IT risk, or technology consulting, with exposure to TMT sector clients.
Hands-on experience with cloud platforms such as AWS, microservices architectures, DevOps/CI/CD, SDLC/PDLC, and distributed systems.
Experience supporting IT general controls (ITGCs) and automated control environments.
Experience supporting risk assessments, control testing, and control design activities.
Experience supporting technology risk engagements in cloud-native or distributed environments.
Understanding of how regulatory and control frameworks, such as SOX and internal controls, apply in modern engineering environments.
Exposure to data platforms and AI-enabled development environments.
Willingness to travel at least 50%, including client-site travel.
Flexibility to work extended hours as needed.

Nice To Haves

Relevant certifications such as CPA, CISA, CISSP, or CISM.
Cloud certifications, such as AWS certifications.
AI-related certifications.

Responsibilities

Execute and manage workstreams across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing.
Work directly with client stakeholders, including finance, IT, and engineering teams, to deliver actionable insights and recommendations.
Oversee day-to-day engagement delivery, coordinate team members, track progress, and ensure deliverable quality and timeliness.
Contribute to engagement performance through resource management, status tracking, and support for budgeting and forecasting.
Provide technical guidance to team members on cloud, platform, and engineering risk considerations.
Design and evaluate controls across DevOps, CI/CD pipelines, SDLC/PDLC processes, and distributed platforms, including APIs, microservices, data environments, and AI-enabled systems.