AI Security Senior Manager
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 Manager, Strategy, Growth & Transformation specializing in Strategy in Deloitte Cyber's Cyber for AI practice, you will help clients solve complex AI cybersecurity, governance and risk strategy challenges as they scale generative AI and agentic systems across their client enterprises. This role sits at the intersection of executive client leadership and cross-capability strategic and solution delivery, combining deep AI cyber risk and governance expertise with the acumen to guide technical teams across Data, Infrastructure, Identity, Security Operations and Application Security. You will lead teams, shape strategic solutions during pursuits, develop reusable accelerators and drive high-quality outcomes for clients and teams alike. Recruiting for this role ends on 05/31/2027.
The team Our Cyber Strategy & Transformation offering develops and transforms cyber programs in line with a client's strategic objectives, regulatory requirements, and risk appetite. It keeps the enterprise a step ahead of the evolving threat landscape and gives stakeholders confidence in the organization's cyber posture. Includes design of the cyber organization, governance, and risk assessments.
Responsibilities
- Advise security, risk, data, technology, and business leaders on enterprise AI security strategy, governance, and risk appetite.
- Lead complex, multi-workstream AI security strategy projects and technology implementations from current-state assessment and target operating model design through governance implementation and adoption.
- Define scalable cybersecurity and governance patterns, including AI risk taxonomies, control frameworks, policy structures, intake and approval processes, and board or executive reporting models