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EY in San Francisco is seeking a Manager in Digital Risk to lead risk, compliance, and control transformations across cloud-native, AI-enabled ecosystems. You will collaborate with senior client stakeholders in finance, technology, and engineering to design scalable, audit-ready control frameworks.
You will manage multiple workstreams across cloud platforms, oversee delivery quality and budgeting, provide technical guidance on DevOps, CI/CD, SDLC/PDLC, and help clients navigate SOX and internal
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
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 sits at the forefront of innovation, working with high-growth and global technology organizations operating on microservices architectures and AI-driven engineering environments.
We are seeking a Manager to support risk, compliance, and control transformation across highly automated and continuously evolving ecosystems. This role requires a combination of SOX knowledge, cloud architecture understanding, and familiarity with modern software development practices, including AI-assisted coding and product development lifecycles (PDLC/SDLC).
You will work closely with senior team members and client stakeholders, including finance, technology, and engineering teams, to support the design and implementation of scalable, audit-ready risk and compliance frameworks within complex technology environments.
As a Manager in our Digital Risk practice, you will support the delivery of complex Digital Risk engagements, owning key workstreams and contributing to overall program execution across cloud-native environments. You will work closely with senior leadership and client stakeholders to drive risk and control initiatives within modern technology ecosystems.
In this role, you will:
Demonstrate strong understanding of cloud-native architectures, distributed systems, and modern engineering practices, applying that knowledge to support the design and assessment of scalable control solutions.
Exhibit an AI-aware risk mindset, with the ability to identify risks introduced by AI-assisted development and automated engineering workflows. Demonstrate architecture fluency, interpreting system interactions and data flows to support control design and evaluation.
Build engineering credibility, partnering effectively with DevOps, platform, and data teams within complex environments. Apply your TMT industry knowledge to understand evolving risks within high-growth, technology-driven organizations.
Communicate clearly and effectively, translating technical risk concepts into practical business insights for client stakeholders while contributing to overall delivery quality.
Operate with attention to detail and accountability, managing competing priorities while contributing to high-quality outcomes and continuous improvement.
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:
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. Flexibility to work extended hours as needed.
Relevant certifications such as CPA, CISA, CISSP, CISM; cloud certifications (e.g., AWS) or AI-related certifications are a plus
We’re looking for individuals who are comfortable operating at the intersection of risk, engineering, and technology, and who are motivated to build technical depth within modern, fast-evolving environments.
The right candidate will be able to work through complex problems, collaborate effectively with both technical teams and business stakeholders, and contribute to delivering clear, actionable insights.
A proactive mindset, strong attention to detail, and the ability to deliver high-quality, scalable solutions in fast-paced, high-growth environments will be key to success.
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information,national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .