Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - Senior Consultant - Bay Area
About The Position
EY’s Digital Risk practice is supporting leading Technology, Media & Telecommunications (TMT) companies as they scale cloud-native, AI-enabled, and platform-based operating models. Based in San Francisco, this role provides the opportunity to work with high-growth and global technology organizations operating on microservices architectures and AI-driven engineering environments. We are seeking a Senior Consultant to support risk, compliance, and control activities across modern, highly automated technology ecosystems. This role requires a strong foundation in SOX, cloud environments, and software development practices, including exposure to AI-assisted development and product development lifecycles (PDLC/SDLC). You will work with engagement teams and client stakeholders to support the design, assessment, and implementation of scalable, audit-ready risk and compliance frameworks within complex technology environments.
Requirements
- A bachelor’s or master’s degree in business, accounting, computer science, engineering, or a related field
- A minimum of 3 years of experience in IT risk, Digital Risk, or technology consulting, with exposure to TMT sector clients or technology environments
- Hands-on experience or exposure to: Cloud platforms (e.g., AWS or similar environments), Microservices and distributed architectures, DevOps and CI/CD pipelines, Software development lifecycles (SDLC/PDLC)
- Experience supporting: IT general controls (ITGCs) and automated control environments, Risk assessments, control testing, and documentation activities, Engagements involving cloud-based or distributed technology systems
- Basic understanding of how control frameworks (e.g., SOX, internal controls) apply within modern technology environments
- Exposure to data platforms and AI-enabled development environments is a plus
- Willingness to travel at least 50%, including client-site travel.
- Flexibility to work extended hours as needed
- Demonstrate foundational understanding of cloud-native architectures, distributed systems, and modern engineering practices, and apply that knowledge to support control assessments and risk analysis.
- Exhibit an AI-aware mindset, recognizing risks associated with AI-assisted development and automation within engineering workflows.
- Demonstrate developing architecture fluency, with the ability to interpret system components, data flows, and dependencies.
- Build credibility with engineering, DevOps, and data teams, collaborating effectively within technical environments.
- Apply knowledge of TMT sector operating models to understand evolving risk considerations.
- Communicate clearly and effectively, translating technical concepts into structured and understandable outputs for engagement teams and client stakeholders.
- Operate with strong attention to detail, organization, and accountability, managing multiple priorities while contributing to high-quality deliverables.
Nice To Haves
- Relevant certifications (or progress toward) such as CISA, CPA, or cloud certifications (e.g., AWS)
- Individuals who are interested in building their experience at the intersection of risk, engineering, and technology, and who are motivated to develop technical capabilities within modern, evolving environments.
- The right candidate is detail-oriented, dependable, and able to work through complex problems while collaborating effectively with both technical and business stakeholders.
- A proactive mindset, willingness to learn, and ability to deliver high-quality, consistent outputs in fast-paced environments will be key to success.
Responsibilities
- Execute activities across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing
- Support engagement teams by working with client stakeholders (e.g., IT, engineering, and business teams) to deliver clear, accurate, and actionable outputs
- Perform analysis and documentation of IT controls, processes, and system environments, ensuring completeness and quality of deliverables
- Contribute to the design and evaluation of controls across DevOps, CI/CD pipelines, SDLC/PDLC processes, and distributed platforms, including APIs, microservices, and data environments
- Support identification and assessment of risks within AI-enabled development environments and automated engineering workflows
- Manage individual tasks and deliverables, maintaining accountability for deadlines, quality, and attention to detail
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence when needed to support your physical, financial, and emotional well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
