Risk Consulting - Digital Risk; Cloud, AI Platforms; TMT - Senior Manager - Bay Area
Listed on 2026-11-05
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IT/Tech
AI Business & Operations
Location:
San Francisco, San Jose, and San Mateo
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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…
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