Cyber Manager: AI Data Security
deloitteRaleigh (NC)
Cyber Manager: AI Data Security
Posted today
deloitteRaleigh (NC)
SENIORITY
Lead
About the role
Overview:
As Manager: AI Data Security, you guide client engagements to secure how data is ingested, transformed, and used by RAG and agentic systems. You translate risk objectives into target architectures and stay involved in critical design decisions, shaping solutions from assessment through production. You’ll develop repeatable secure data patterns and coach teams, working across identity, cloud, and AI engineering to reduce risk. This is a chance to influence security across AI platforms in a leading advisory practice.
Responsibilities:
Lead AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems Translate data use cases and risk requirements into target architectures covering sources, pipelines, vector stores, retrieval, context, outputs, and memory Participate in design reviews, entitlement and metadata decisions, and critical pipeline and policy reviews Manage engagement scope, milestones, quality, and client expectations from design to production adoption Coordinate data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams Shape solutions during pursuits through workshops, proofs of concept, estimates, and delivery plans Develop reusable secure RAG patterns, validation tooling, and delivery methods Coach practitioners on engineering quality
Key requirements:
6+ years of combined cybersecurity and AI architecture & engineering experience Experience designing and implementing data security controls in AWS, Azure, and/or Google Cloud Architecting secure RAG and agentic data platforms across structured and unstructured sources Knowledge of vector/search data platforms including entitlement and identity-aware retrieval Experience integrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and DLP into production data paths Proficiency in Python and SQL pipelines, access-control logic, validation tooling, and CI/CD Experience leading client-facing technology or cyber engagements with responsibility for scope, timelines, and executive stakeholders Bachelor’s Degree in Computer Science, Engineering, Information Technology, Cybersecurity or related field; or equivalent demonstrated experience Willingness to travel 20–50% Effective written and verbal communication Mentoring and coaching Strong stakeholder management Cloud data security patterns (AWS, Azure, GCP) Secure RAG and agentic data platforms Vector stores and enterprise data platforms
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