AI Security Senior Consultant

About the role

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever‑changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

As a Senior Consultant, Strategy, Growth & Transformation in Deloitte Cyber's Cyber for AI practice, you will own and deliver work that helps clients understand and mitigate/monitor the risks of adopting AI across the enterprise and define the cybersecurity controls, governance, policy and risk management approaches needed to deploy AI securely and safely. You will combine client advisory with structured cyber risk and governance work, turning business and regulatory requirements into frameworks, roadmaps and recommendations, and you will work closely with the practice's Data, Infrastructure, Identity, Security Operations and Application Security teams to make sure strategy translates into implementable requirements. You will guide junior practitioners, lead project activities and client interactions and help identify, win and deliver new work.

Recruiting for this role ends on 05/31/2027.

Responsibilities

• Lead discovery and current‑state assessments of client AI cybersecurity controls, governance, risk management and security practices across business units and AI use cases.
• Facilitate stakeholder workshops with security, risk, data science, legal and business leaders to surface AI risk concerns and gather requirements.
• Develop AI risk registers, control frameworks and maturity assessments aligned to standards such as the NIST AI RMF, ISO/IEC 42001, the OWASP LLM Top 10 and MITRE ATLAS.
• Translate strategic recommendations into workstream‑level roadmaps, coordinating with Data, Infrastructure, Identity and Application Security practitioners on technical implementation details.
• Draft governance artifacts, including AI use‑case intake processes, policy templates, model risk tiering approaches and AI security awareness materials.
• Own a workstream within a broader engagement, manage dependencies and milestones, provide day‑to‑day guidance to consultants, and support client demonstrations, executive readouts, and research, benchmarking, and estimation inputs to pursuits.

Skills

• Ability to work independently and collaborate 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 lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast‑paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Cybersecurity, or Risk Management.
• 4+ years of experience in cybersecurity, risk, or technology consulting, including experience with artificial intelligence or machine learning systems, data governance, or emerging technology risk.
• Experience working with artificial intelligence and machine learning concepts, including model development, training, fine‑tuning, retrieval‑augmented generation, and agentic architectures.
• Experience applying AI risk and security frameworks or regulations such as NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS, or the EU AI Act.
• Experience conducting risk assessments, gap analyses, or maturity assessments in cybersecurity, privacy, or governance and developing strategy documents, governance frameworks, and executive presentation materials.
• Ability to travel 25‑50% on average, based on client work.
• Limited immigration sponsorship may be available.

Preferred qualifications

• Consulting, client delivery, or client‑facing advisory experience.
• Experience building or customizing prompts, templates, or lightweight AI workflows to standardize recurring deliverables such as risk registers, maturity assessments, or policy drafts.
• Familiarity with AI governance platforms, GRC tools, or model risk management systems.
• Knowledge of the machine‑learning lifecycle and technologies such as PyTorch, TensorFlow, or MLflow.
• Experience developing reusable strategy assets, reviewing work products of junior consultants, or contributing to methodologies and frameworks.
• Experience in regulated industries such as financial services, healthcare, life sciences, or the public sector.
• Relevant certifications (e.g., CISSP, CISM, CDPSE, AIGP, ISO/IEC 42001 Foundation or Lead Implementer).

Pay

The estimated compensation range for this role is $105,400 to $207,800, subject to factors such as skill set, experience, training, licensure, certifications, and business needs. Compensation decisions are made on a case‑by‑case basis. The role may also be eligible for a discretionary annual incentive program, dependent on individual and organizational performance.