Director, Cloud & AI Security

S&P Global

. Define and operationalize AI Security Strategy across multi-cloud and on-premises environments .

Posted 10/13/2026full-timeUnited StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and operationalizing AI Security Strategies across multi-cloud and on-premises environments, with a strong focus on compliance with regulatory frameworks and the implementation of security controls for AI systems. Proficient in leading AI Security Governance initiatives and driving the adoption of security policies and standards.

Highest-signal resume keywords

AI Security Strategy DevelopmentCloud Security ExpertiseZero Trust ArchitectureAI/ML Security ImplementationsPrivacy Regulations Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Information SecurityCloud SecurityAI/ML SecurityThreat ModelingSecurity Architecture ReviewsAgent Safety ControlsRAG PatternsModel Risk ManagementPrivacy-Preserving TechnologiesSecure Toolchains

Tools & Technologies

AWSAzureGCPOCIHashiCorp VaultAWS Secrets ManagerAzure Key VaultOPAConftestSentinel

Industry Keywords

NIST AI RMFISO/IEC 23894GDPRCCPAGLBASOC 2ISO 27001Financial ServicesHighly Regulated IndustriesAgentic AI Systems

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformVault

About the role

Key responsibilities & impact

Define and operationalize AI Security Strategy across multi-cloud and on-premises environments
Establish and maintain an enterprise AI Risk Framework aligned with NIST AI RMF, ISO/IEC 23894, and regulatory requirements
Perform Security Architecture Reviews for hosted and self-hosted models, agentic AI systems, RAG implementations, and vector database integrations
Design and implement agent safety controls including sandboxing, least-privilege tooling, prompt injection defenses, and secure tool-use patterns
Lead AI Security Governance initiatives across Legal, Compliance, Privacy, and Risk teams
Drive adoption of AI security policies and standards through playbooks, secure coding guidelines, and threat modeling workshops

Requirements

What you’ll need

10+ years of Information Security experience
4+ years specializing in cloud security
2+ years in AI/ML or LLMOps security implementations
Hands-on expertise with AWS, Azure, GCP, and OCI, including identity management, encryption services, and AI/ML services
Proficiency with Zero Trust architecture, policy-as-code frameworks such as OPA, Conftest, or Sentinel, and secrets management platforms such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault
Deep knowledge of RAG patterns, vector databases such as Pinecone, Weaviate, or FAISS, prompt engineering, and agent orchestration frameworks including MCP, ACP, and A2A patterns
Experience with threat modeling and offensive security testing for AI systems, including prompt injection attacks and agent misuse scenarios
Strong understanding of privacy regulations and compliance frameworks including GDPR, CCPA, GLBA, SOC 2, and ISO 27001
Production experience deploying agentic AI systems with secure toolchains, runtime isolation, and enterprise-grade safety controls in regulated environments
Expertise in privacy-preserving technologies such as confidential computing, differential privacy, or federated learning
Background in model risk management and AI governance, including explainability, provenance tracking, watermarking, and automated evaluation pipelines
Experience in financial services or highly regulated industries

Benefits

Comp & perks

Health care coverage designed for mind and body
Generous time off
Continuous learning resources and career development
Competitive pay
Retirement planning
Continuing education program with company-matched student loan contribution
Financial wellness programs
Family benefits for partners and children
Retail discounts
Referral incentive awards