Risk Consulting - Digital Risk (Cloud, AI, & Platforms) - TMT Sector - Senior Consultant - NER

EY•Boston, MA

3d•$104,800 - $218,500

About The Position

EY’s Digital Risk practice supports Technology, Media & Telecommunications (TMT) companies as they scale cloud-native, AI-enabled, and platform-based operating models. Based in the Northeast Region, the Senior Consultant works with high-growth and global technology organizations operating on microservices architectures and AI-driven engineering environments. The role supports risk, compliance, and control activities across modern, highly automated technology ecosystems, drawing on knowledge of SOX, cloud environments, software development practices, and AI-assisted development and product development lifecycles (PDLC/SDLC). The Senior Consultant works with engagement teams and client stakeholders to support the design, assessment, and implementation of scalable, audit-ready risk and compliance frameworks within complex technology environments. The role contributes to Digital Risk engagement delivery, executing workstream activities and supporting overall objectives in cloud-native environments while collaborating with Managers, Senior Managers, and client stakeholders.

Requirements

Bachelor’s or master’s degree in business, accounting, computer science, engineering, or a related field.
At least 3 years of experience in IT risk, Digital Risk, or technology consulting, with exposure to TMT sector clients or technology environments.
Hands-on experience or exposure to cloud platforms such as AWS or similar environments.
Hands-on experience or exposure to microservices and distributed architectures.
Hands-on experience or exposure to DevOps and CI/CD pipelines.
Hands-on experience or exposure to software development lifecycles (SDLC/PDLC).
Experience supporting IT general controls (ITGCs) and automated control environments.
Experience supporting risk assessments, control testing, and documentation activities.
Experience supporting engagements involving cloud-based or distributed technology systems.
Basic understanding of how control frameworks, such as SOX and internal controls, apply within modern technology environments.
Willingness to travel at least 50%, including client-site travel, and flexibility to work extended hours as needed.
Strong attention to detail, organization, and accountability, with the ability to manage multiple priorities.
Clear and effective communication skills, including the ability to translate technical concepts into structured, understandable outputs.

Nice To Haves

Exposure to data platforms and AI-enabled development environments.
Relevant certifications or progress toward certifications such as CISA, CPA, or cloud certifications (e.g., AWS).
Foundational understanding of cloud-native architectures, distributed systems, and modern engineering practices.
AI-aware mindset and developing architecture fluency, including ability to interpret system components, data flows, and dependencies.
Ability to build credibility and collaborate with engineering, DevOps, data, business, and other technical teams.
Knowledge of TMT sector operating models and evolving risk considerations.
Proactive mindset, willingness to learn, and ability to deliver consistent, high-quality outputs in fast-paced environments.

Responsibilities

Execute activities across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing.
Work with client IT, engineering, and business stakeholders to deliver clear, accurate, and actionable outputs.
Analyze and document IT controls, processes, and system environments, ensuring deliverable completeness and quality.
Contribute to designing and evaluating controls across DevOps, CI/CD pipelines, SDLC/PDLC processes, and distributed platforms, including APIs, microservices, and data environments.
Support identification and assessment of risks in AI-enabled development environments and automated engineering workflows.
Manage individual tasks and deliverables, maintaining accountability for deadlines, quality, and attention to detail.