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EY's Digital Risk practice seeks a Manager in the Northeast to lead risk and control initiatives for cloud-native, AI-enabled environments. Based in New York, you will partner with finance, IT, and engineering to design scalable, audit-ready frameworks and to drive risk assessments, control design, and testing across SDLC/PDLC.
You will mentor teams, manage delivery, and contribute to budgeting and forecasting while supporting high-growth technology programs. Travel up to 50% is expected.
Location: New York
Other locations: Anywhere in Region
Location: New York, Boston, and Philadelphia
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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 the Northeast Region, 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.
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.
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 harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers .
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.
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