{"schemaVersion":"jobsearcher.job.v1","id":"b7fcc1aaa5174cbc8a60cdcd","url":"https://jobsearcher.com/jobs/b7fcc1aaa5174cbc8a60cdcd","canonicalUrl":"https://jobsearcher.com/jobs/b7fcc1aaa5174cbc8a60cdcd","title":"Cyber Manager: AI Data Security","description":"As a Manager: AI Data Security in Deloitte's Cyber for AI team, you will lead client engagements that secure how enterprise data is ingested, transformed, retrieved, and used by RAG and agentic systems. You will translate business and risk objectives into target architecture, remain directly involved in critical design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets.\n\nRecruiting for this role ends on 05/31/2027.\n\nWork you'll do\n\nAs a Manager: AI Data Security, you will be responsible for:\n\nLeading AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems.\nTranslating data use cases and risk requirements into target architectures spanning sources, pipelines, vector stores, retrieval, context, outputs, and memory.\nRemaining directly involved in design reviews, entitlement and metadata decisions, critical pipeline and policy reviews, and resolution of high-risk technical issues.\nManaging engagement scope, teams, milestones, quality, and client expectations while maintaining a clear path from design to production adoption.\nCoordinating data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams.\nShaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans.\nDeveloping reusable secure RAG patterns, validation tooling, and delivery methods.\nCoaching practitioners on engineering quality.\n\nThe Team\n\nDeloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk.\n\nWithin the team, our Data capability focuses on how enterprise data is discovered, classified, retrieved, transformed, and protected across RAG pipelines, vector stores, model context, and agent memory.\n\nQualifications\n\n6+ years of combined cybersecurity and AI architecture & engineering experience, including leading production generative AI or agentic implementations across models, orchestration, identity, data, and infrastructure.\n\nRequired Experience:\n\nDesigning and implementing data security controls in either AWS, Azure, and/or Google Cloud with experience with data security patterns in the other two platforms.\nArchitecting and implementing secure RAG and agentic data platforms across structured and unstructured enterprise sources.\nVector, search, and data platforms including tenant isolation, document- or row-level entitlements, metadata filtering, and identity-aware retrieval.\nIntegrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and data loss prevention (DLP) technologies into production data paths.\nReviewing or developing Python and SQL pipelines, access-control logic, validation tooling, and CI/CD integrations.\nLeading client-facing technology or cyber engagements with responsibility for scope, teams, timelines, quality, and executive stakeholders.\nBachelor's Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; alternatively, equivalent demonstrated experience.\nAbility to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve.\nLimited immigration sponsorship may be available.\n\nPreferred Experience:\n\nManaged AI services and self-hosted or open-weight AI platforms.\nAI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring.\nBuilding reusable technical assets, delivery methods, or automation for client engagements.\nMachine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow.\nAI data services such as Amazon Bedrock Knowledge Bases, Microsoft Foundry with Azure AI Search, Google Vertex AI RAG Engine, or Databricks AI capabilities.\nEnterprise data security and governance platforms such as Microsoft Purview, Amazon Macie and Lake Formation, Google Sensitive Data Protection, BigID, Collibra, Immuta, or Privacera.\n\nCertifications (Preferred)\n\nCertified Information Systems Security Professional (CISSP)\nCertified Cloud Security Professional (CCSP)\nCertified Data Privacy Solutions Engineer (CDPSE)\nAWS / Azure / GCP Cloud certifications\nDatabricks and/or Snowflake certification(s)\nData Engineering certifications\n\nA successful candidate would possess these skills:\n\nAbility to work independently and collaborate as part of a team\nEffective written and verbal communication skills\nMeticulous attention to detail and quality of work product\nAbility to build and sustain professional relationships\nAbility to lead projects or workstreams\nAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environment\nStrong interpersonal skills and professional demeanor\nAbility to meet deadlines\nAbility to mentor and provide clear guidance to others\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.\n\nAt Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\n\n#LI-DT6","company":"Deloitte","rawCompany":"deloitte","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-13T04:06:01.637Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1212.00","title":"Information Security Analysts","slug":"information-security-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cyber Manager: AI Data Security","description":"As a Manager: AI Data Security in Deloitte's Cyber for AI team, you will lead client engagements that secure how enterprise data is ingested, transformed, retrieved, and used by RAG and agentic systems. You will translate business and risk objectives into target architecture, remain directly involved in critical design and engineering decisions, and guide teams from assessment through implementation. You will also shape solutions during pursuits and help build repeatable delivery assets.\n\nRecruiting for this role ends on 05/31/2027.\n\nWork you'll do\n\nAs a Manager: AI Data Security, you will be responsible for:\n\nLeading AI data security assessments, architecture workshops, and implementation programs for RAG and agentic systems.\nTranslating data use cases and risk requirements into target architectures spanning sources, pipelines, vector stores, retrieval, context, outputs, and memory.\nRemaining directly involved in design reviews, entitlement and metadata decisions, critical pipeline and policy reviews, and resolution of high-risk technical issues.\nManaging engagement scope, teams, milestones, quality, and client expectations while maintaining a clear path from design to production adoption.\nCoordinating data security dependencies across identity, cloud, network, AI engineering, application security, privacy, and operations teams.\nShaping solutions during pursuits through workshops, demonstrations, proofs of concept, estimates, and delivery plans.\nDeveloping reusable secure RAG patterns, validation tooling, and delivery methods.\nCoaching practitioners on engineering quality.\n\nThe Team\n\nDeloitte's Cyber for AI team helps organizations secure generative AI and agentic systems from design through production. The team brings together AI engineering and cyber skills across identity, data, infrastructure, application security, and operations. We work with clients to make security controls part of the platform and delivery lifecycle, so teams can move from experiments to production without creating unmanaged access, data, or infrastructure risk.\n\nWithin the team, our Data capability focuses on how enterprise data is discovered, classified, retrieved, transformed, and protected across RAG pipelines, vector stores, model context, and agent memory.\n\nQualifications\n\n6+ years of combined cybersecurity and AI architecture & engineering experience, including leading production generative AI or agentic implementations across models, orchestration, identity, data, and infrastructure.\n\nRequired Experience:\n\nDesigning and implementing data security controls in either AWS, Azure, and/or Google Cloud with experience with data security patterns in the other two platforms.\nArchitecting and implementing secure RAG and agentic data platforms across structured and unstructured enterprise sources.\nVector, search, and data platforms including tenant isolation, document- or row-level entitlements, metadata filtering, and identity-aware retrieval.\nIntegrating classification, catalog, lineage, fine-grained access, encryption, key management, tokenization, redaction, and data loss prevention (DLP) technologies into production data paths.\nReviewing or developing Python and SQL pipelines, access-control logic, validation tooling, and CI/CD integrations.\nLeading client-facing technology or cyber engagements with responsibility for scope, teams, timelines, quality, and executive stakeholders.\nBachelor's Degree in Computer Science, Engineering, Information Technology, Cybersecurity or a related field; alternatively, equivalent demonstrated experience.\nAbility to travel 20-50%, on average, based on the work you do and the clients and industries/sectors you serve.\nLimited immigration sponsorship may be available.\n\nPreferred Experience:\n\nManaged AI services and self-hosted or open-weight AI platforms.\nAI threat modeling, red teaming, security evaluations, secure AI development practices, or AI-specific monitoring.\nBuilding reusable technical assets, delivery methods, or automation for client engagements.\nMachine learning tools and frameworks such as PyTorch, TensorFlow, or MLflow.\nAI data services such as Amazon Bedrock Knowledge Bases, Microsoft Foundry with Azure AI Search, Google Vertex AI RAG Engine, or Databricks AI capabilities.\nEnterprise data security and governance platforms such as Microsoft Purview, Amazon Macie and Lake Formation, Google Sensitive Data Protection, BigID, Collibra, Immuta, or Privacera.\n\nCertifications (Preferred)\n\nCertified Information Systems Security Professional (CISSP)\nCertified Cloud Security Professional (CCSP)\nCertified Data Privacy Solutions Engineer (CDPSE)\nAWS / Azure / GCP Cloud certifications\nDatabricks and/or Snowflake certification(s)\nData Engineering certifications\n\nA successful candidate would possess these skills:\n\nAbility to work independently and collaborate as part of a team\nEffective written and verbal communication skills\nMeticulous attention to detail and quality of work product\nAbility to build and sustain professional relationships\nAbility to lead projects or workstreams\nAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environment\nStrong interpersonal skills and professional demeanor\nAbility to meet deadlines\nAbility to mentor and provide clear guidance to others\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.\n\nAt Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\n\n#LI-DT6","datePosted":"2026-11-13T04:06:01.637Z","dateModified":"2026-11-13T04:06:01.637Z","hiringOrganization":{"@type":"Organization","name":"Deloitte","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b7fcc1aaa5174cbc8a60cdcd"},"url":"https://jobsearcher.com/jobs/b7fcc1aaa5174cbc8a60cdcd"}}