Cyber Engineering Manager - Incident Response

Deloitte • Dayton, OH

19h • $113,100 - $232,300

About The Position

The Cyber Engineering Manager - Incident Response works within Government Public Sector (GPS) Cyber Security Operations, investigating incidents and directly performing actions to protect Deloitte and its clients. GPS Cyber Operations monitors and analyzes data and serves as the US Member Firm’s focal point for detection, collection, and incident response. The role supports the team’s technical direction, service delivery, and alignment with organizational goals and digital transformation efforts. It translates operational requirements into practical technical implementations and helps identify misaligned initiatives or impractical use cases.

The position supports the deployment of cybersecurity, automation, and AI technologies; contributes to projects and focus groups that advance operational capabilities and security infrastructure; and collaborates with system owners, developers, engineers, and stakeholders to deliver security event monitoring and align implementations with Federal, state, and DoD requirements. The role also oversees successful execution of AI-powered applications and tools using agile methodology and audits AI tools and practices across data, models, and software engineering to support continuous improvement.

The manager works with cybersecurity and application engineers to anticipate and mitigate risks and support compliance with cybersecurity standards, norms, and regulations. This includes addressing risks such as training-data issues, poisoning, AI model theft, and adversarial samples. The role helps cybersecurity and GPS stakeholders understand AI’s potential and limitations and creates or reviews cybersecurity use cases while building collective understanding of AI technologies, analytics methods, tools, and operating models. The successful candidate can lead projects or workstreams, mentor others, and manage multiple priorities in a dynamic environment.

Requirements

• Bachelor’s degree or equivalent in Computer Science or Computer Engineering.
• At least 6 years of directly related experience in Cyber Operations, Security Architecture, or AI Engineering.
• At least 1 year of people and/or process management experience.
• Must be able to obtain US Government security clearance.
• Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future.
• Ability to travel an average of 10%, depending on the work and clients and industries or sectors served.
• Ability to work independently and collaboratively as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.

Nice To Haves

• Advanced degree.
• Certifications in AI/ML technologies and cloud platforms, such as AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
• Experience working with GenAI applications or services.
• Experience developing or managing cloud-based technologies.
• Experience implementing cloud-based AI/ML workloads on AWS, Microsoft, or Azure.

Responsibilities

• Support GPS Cyber Operations’ technical direction, service delivery, and alignment with organizational goals and digital transformation efforts.
• Translate operational requirements into realistic technical implementations and identify misaligned initiatives and impractical use cases.
• Support deployment of cybersecurity, automation, and AI technologies.
• Contribute to project teams and focus groups advancing operational capabilities and security infrastructure.
• Collaborate with system owners, developers, and engineers to deliver security event monitoring.
• Gather stakeholder input and align technical implementations with Federal, state, and DoD requirements.
• Oversee successful execution of AI-powered applications and tools using agile methodology.
• Audit AI tools and practices across data, models, and software engineering, emphasizing continuous improvement and feedback mechanisms.
• Work with cybersecurity and application engineers to anticipate and mitigate risks and ensure compliance with cybersecurity standards, norms, and regulations.
• Address potential AI risks, including training-data issues, poisoning, model theft, and adversarial samples.
• Help cybersecurity and GPS stakeholders understand the potential and limitations of AI when reviewing, testing, or integrating AI solutions.
• Create or review cybersecurity use cases and build understanding of leading AI technologies, analytics methods, tools, and operating models.
• Lead projects or workstreams, mentor others, and manage and prioritize multiple tasks.

Benefits

• Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and factors including individual and organizational performance.
• Broad range of employee benefits.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager