Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - Senior 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, working with hyper-growth and global technology organizations operating on microservices architectures and AI-driven engineering environments.

Responsibilities

• Lead delivery of Digital Risk engagements across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and transformation initiatives
• Serve as a trusted advisor to senior stakeholders (e.g., CFO, CIO, CTO), delivering executive presentations and actionable recommendations
• Drive business development, engagement performance, and team leadership, including budgeting, forecasting, staffing, delivery quality, and oversight of technical risk areas
• Provide technical leadership as a subject matter expert, guiding teams on complex 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 related field
• A minimum of 8 years of experience in Digital Risk, IT risk, or technology consulting, focused on TMT sector clients with deep industry knowledge
• Strong hands-on experience in cloud platforms (AWS), microservices architectures, DevOps/CI-CD, SDLC/PDLC, and distributed systems
• Experience designing and assessing ITGCs and automated controls in modern environments
• Experience leading risk assessments, control testing, and transformation initiatives in cloud-native ecosystems
• Ability to translate regulatory requirements into engineering-aligned controls
• Exposure to data platforms and AI-enabled development environments
• Willingness to travel at least 50%

Qualifications

• Deep 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 distributed systems, data flows, and platform dependencies to inform control design
• Strong engineering credibility, effectively partnering with DevOps, platform engineering, and data teams within complex environments
• Bring strong executive presence, translating complex technical risks into clear business insights and actionable recommendations for senior stakeholders
• Build strong client relationships, manage competing priorities, and consistently deliver high-quality outputs while driving innovation through automation and emerging technologies

Skills and attributes for success

• Technical credibility to engage meaningfully in modern technology environments
• Comfortable operating at the intersection of risk, engineering, and innovation
• Fast-paced, high-growth, tech-centric setting
• Motivated by solving complex, evolving industry challenges
• Naturally curious, adaptable, and energized by continuous change

Pay

The base salary range for this job in all geographic locations in the US is $170,600 to $390,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $204,800 to $443,200. 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.