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 works 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, identifying 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 within high-growth, technology-driven organizations
• 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

Benefits

The base salary range for this job 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.

Pay

Base salary range: $144,900 to $265,800

Schedule

Hybrid model with most people in external, client serving roles expected to work together in person 40-60% of the time over the course of an engagement, project or year.