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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing Cybersecurity AI strategies, integrating AI capabilities across security platforms, and establishing Zero Trust security models. Proficient in leading enterprise-scale cybersecurity transformations and developing AI security standards and metrics.
Highest-signal resume keywords
Cybersecurity AI StrategyZero Trust Security ModelGenerative AI and Machine LearningSecurity Architecture and EngineeringAI Risk Assessment and Governance
ATS Keywords
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Hard Skills
CybersecurityAI SecuritySecurity EngineeringMachine LearningGenerative AISecurity ArchitectureIncident ResponseVulnerability ManagementCloud SecurityData Loss Prevention
Soft Skills
LeadershipMentoringCollaborationStrategic Partnership DevelopmentCommunication
Tools & Technologies
SOCSIEMSOARIAMEDRCSPMGRCAI APIsMicroservicesContainers
Certifications & Qualifications
CISSPCISMCCSP
Industry Keywords
NIST Cybersecurity FrameworkISO 27001GDPRCCPAPCI DSSSOXITGCFinancial ServicesFintechHighly Regulated Industries
Tech Stack
Tools & technologiesCloudCyber SecurityMicroservices
About the role
Key responsibilities & impact- Define and execute the enterprise Cybersecurity AI strategy and roadmap
- Identify high-value cybersecurity use cases for GenAI, ML and Agentic AI
- Build business cases, investment roadmaps and measurable ROI for AI-driven security transformation
- Lead AI transformation across SOC, threat detection, incident response, security orchestration, vulnerability management, identity intelligence, insider-threat detection, DLP, third-party risk, threat intelligence, security analytics, application security, cloud security and security engineering
- Define controls and architecture for securing enterprise AI environments
- Establish a Zero Trust security model for autonomous AI agents
- Establish AI security standards, policies and control frameworks
- Partner with Legal, Privacy, Risk, Compliance, Data and Enterprise Architecture teams
- Develop AI risk assessment and security review processes
- Define AI security metrics, KRIs and executive dashboards
- Lead architecture and implementation of AI-enabled security platforms
- Integrate AI capabilities across SOC, SIEM, SOAR, IAM, DLP, EDR, CSPM and GRC ecosystems
- Drive automation and reduction of manual security operations
- Evaluate emerging cybersecurity AI technologies, startups and platforms
- Lead cybersecurity, AI security, security engineering and data/AI specialists
- Partner with executive leadership and present AI security strategy, risk and investment requirements
- Develop strategic partnerships and mentor senior cybersecurity and AI talent
Requirements
What you’ll need- 12–15+ years in Cybersecurity, Information Security, AI Security, Security Engineering, or related technology leadership roles
- Strong understanding of security architecture, SOC, IAM, AppSec, Cloud Security, GRC and security engineering
- Experience leading enterprise-scale cybersecurity transformation
- Strong understanding of Zero Trust principles
- Strong understanding of Generative AI, LLMs, Machine Learning, RAG, AI agents, Agentic workflows, AI APIs and orchestration, and AI security architecture
- Experience implementing AI/ML solutions in cybersecurity
- Understanding of AI risks, model security and AI governance
- Experience with cloud platforms and modern security architectures
- Understanding of APIs, microservices, containers and DevSecOps
- Experience integrating AI with enterprise security platforms
- Knowledge of NIST Cybersecurity Framework, NIST AI RMF, Zero Trust Architecture, ISO 27001, SOC 2, GDPR / CCPA, PCI DSS, SOX / ITGC and industry-specific cybersecurity regulations
- Master’s degree in Cybersecurity, Computer Science, AI, Technology or related discipline preferred
- CISSP / CISM / CCSP or equivalent certification preferred
- Experience building cybersecurity AI capabilities from the ground up preferred
- Experience with AI agents / autonomous security operations preferred
- Experience in financial services, technology, fintech or other highly regulated industries preferred
- Published research, patents, conference presentations or thought leadership in Cybersecurity/AI is a plus
- Experience working with cybersecurity startups and emerging technologies is desirable
Benefits
Comp & perks- Meaningful learning experiences and development pathways
- Future-focused skills and AI tools
- Accessibility support for applicants who need assistance with the online application process
- Equal employment opportunity