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

About the role

EY’s Digital Risk practice supports leading Technology, Media & Telecommunications (TMT) companies as they scale cloud-native, AI-enabled, and platform-based operating models. This role is based in San Francisco and involves working closely with senior team members and client stakeholders, including finance, technology, and engineering teams.

Responsibilities

• Execute and manage workstreams across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing activities
• Support client engagement teams by working directly with stakeholders (e.g., finance, IT, engineering) to deliver clear, actionable insights and recommendations
• Oversee day-to-day delivery, including coordination of team members, tracking progress, and ensuring quality and timeliness of deliverables
• Contribute to engagement performance, including resource management, status tracking, and supporting budgeting and forecasting activities
• Provide technical guidance within your areas of expertise, supporting 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

Requirements

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

Qualifications

• Strong understanding of cloud-native architectures, distributed systems, and modern engineering practices
• An AI-aware risk mindset, with the ability to identify risks introduced by AI-assisted development and automated engineering workflows
• Architecture fluency, interpreting system interactions and data flows to support control design and evaluation
• Building engineering credibility, partnering effectively with DevOps, platform, and data teams within complex environments
• Understanding of TMT industry risks and trends
• Clear and effective communication, translating technical risk concepts into practical business insights for client stakeholders
• Attention to detail and accountability, managing competing priorities while contributing to high-quality outcomes and continuous improvement

Skills

• Relevant certifications such as CPA, CISA, CISSP, CISM; cloud certifications (e.g., AWS) or AI-related certifications are a plus

Pay

The base salary range for this role in all geographic locations in the US is $144,900 to $265,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $173,900 to $302,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.