Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - TMT Sector - Manager - Seattle

Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - TMT Sector - Manager - Seattle

Location: Seattle Salary: Competitive

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 Seattle, 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.

Your key responsibilities include:

• Execute and manage workstreams across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing activities
• Support client engagement teams by working directly with stakeholders (e.g., finance, IT, engineering) to deliver clear, actionable insights and recommendations
• Oversee day-to-day delivery, including coordination of team members, tracking progress, and ensuring quality and timeliness of deliverables
• Contribute to engagement performance, including resource management, status tracking, and supporting budgeting and forecasting activities
• Provide technical guidance within your areas of expertise, supporting team members on 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

Skills and attributes for success include:

• Strong understanding of cloud-native architectures, distributed systems, and modern engineering practices
• AI-aware risk mindset, with the ability to identify risks introduced by AI-assisted development and automated engineering workflows
• Architecture fluency, interpreting system interactions and data flows to support control design and evaluation
• Engineering credibility, partnering effectively with DevOps, platform, and data teams within complex environments
• Ability to apply TMT industry knowledge to understand evolving risks within high-growth, technology-driven organizations
• Clear and effective communication, translating technical risk concepts into practical business insights for client stakeholders
• Attention to detail and accountability, managing competing priorities while contributing to high-quality outcomes and continuous improvement

To qualify for the role you must have:

• 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: IT general controls (ITGCs) and automated control environments
• Risk assessments, control testing, and control design activities
• Technology risk engagements within cloud-native or distributed environments
• 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

Ideally, you'll also have:

• Relevant certifications such as CPA, CISA, CISSP, CISM; cloud certifications (e.g., AWS) or AI-related certifications are a plus

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