Risk Consulting - Digital Risk; Cloud, AI Platforms - Senior Manager - Bay Area
Listed on 2026-06-02
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IT/Tech
Systems Engineer, AI Engineer (Applied/Software), Cloud Computing, Data Security
Location:
San Francisco, San Mateo, San Jose
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The opportunityEY’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 hyper-growth and global technology organizations operating on microservices architectures and AI-driven engineering environments .
We are seeking a Senior Manager – Digital Risk to lead risk, compliance, and control transformation across highly automated and continuously evolving ecosystems. This role requires a unique combination of SOX expertise, cloud architecture fluency, and a strong understanding of modern software development , including AI-assisted coding and end-to-end product development life cycles (PDLC/SDLC).
You will partner with CFOs, CTOs, platform engineering leaders, and AI/ML teams to embed scalable, audit-ready frameworks into complex environments—enabling organizations to scale securely, meet regulatory expectations, and build trust with stakeholders.
Your key responsibilitiesAs a Senior Manager in our Digital Risk practice, you will lead multiple complex Digital Risk engagements , overseeing end-to-end program delivery, engagement economics, and team performance across cloud-native environments. You will act as a trusted advisor to senior client stakeholders, driving risk and control transformation within modern technology ecosystems.
In this role, you will:
- 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 Dev Ops, CI/CD pipelines, SDLC/PDLC processes, and distributed platforms , including APIs, microservices, data environments, and AI-enabled systems
Demonstrate deep understanding of cloud-native architectures, distributed systems, and modern engineering practices , applying that knowledge to design scalable, practical control solutions and guide teams on complex digital risk challenges.
Exhibit an AI-aware risk mindset , identifying risks introduced by AI-assisted development and automated engineering workflows. Demonstrate architecture fluency , interpreting distributed systems, data flows, and platform dependencies to inform control design
Bring strong engineering credibility , effectively partnering with Dev Ops, platform engineering, and data teams within complex environments. Leverage deep TMT industry knowledge to anticipate emerging risks in high-growth, platform-based organizations.
Operate with strong executive presence , translating complex technical risks into clear business insights and actionable recommendations for senior stakeholders while maintaining focus on scalable, evolving control frameworks .
Build strong client relationships, manage competing priorities, and consistently deliver high-quality outputs while driving innovation through automation and emerging technologies.
To qualify for the role you must have- 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, Dev Ops/CI‑CD,…
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