5 дней назад
Enterprise Cybersecurity Senior Advisor (AI Strategy)
206 400 - 309 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Cybersecurity Senior Advisor (AI Strategy): Defining and executing SCE's cybersecurity AI strategy, roadmap, governance, and controls across enterprise AI platforms, data, models, and third-party services with an accent on responsible AI adoption, risk reduction, and operational resilience. Focus on assessing emerging AI threats and regulations, designing secure AI lifecycle controls, and translating complex cybersecurity risks into executive decisions and measurable outcomes.
Location: Hybrid role based primarily in Rosemead, California; employees are generally required to work and reside in California. The role requires up to 25% travel throughout the SCE service territory.
Salary: $206,400–$309,600 per year
Company
is a large electric utility focused on clean energy, grid reliability, and serving customers across Southern California.
What you will do
- Own and continuously refine the multi-year cybersecurity AI strategy, priorities, principles, roadmap, and measurable outcomes.
- Define security requirements, reference patterns, guardrails, and controls for AI platforms, data, models, and third-party services.
- Assess emerging AI technologies, cyber threats, regulations, and industry practices to identify risks and recommendations.
- Lead architecture reviews, technology selection, investment planning, and cybersecurity participation in enterprise AI strategy.
- Partner with IT, data, privacy, legal, compliance, risk, procurement, operations, and business teams across the AI lifecycle.
- Provide executive briefings, dashboards, governance updates, mentoring, and guidance on responsible AI adoption.
Requirements
- US citizenship required.
- Ten or more years of experience in information technology, information security, and/or cybersecurity.
- Experience with enterprise architecture, AI strategy, security strategy, technical roadmaps, or related technology strategy functions.
- Knowledge of cybersecurity frameworks, governance, risk management, architecture practices, and security controls.
- Experience with AI security concepts including model, prompt, and data security; AI threat modeling; adversarial testing; privacy; monitoring; and human oversight.
- Relevant experience in utility, critical infrastructure, operational technology, regulated, or large enterprise environments is preferred.
Nice to have
- Bachelor’s degree in computer science, information systems, engineering, cybersecurity, data science, or a related discipline.
- Certifications such as CISSP, CISM, CRISC, CISA, GSEC, cloud security, AI/ML security, or architecture certifications.
- Familiarity with NIST, MITRE ATT&CK, MITRE ATLAS, Zero Trust, SABSA, TOGAF, and IEC 62443.
Culture & Benefits
- Hybrid work arrangement with designated days at an SCE facility and remote work on remaining days.
- Work supporting clean energy, carbon reduction, grid reliability, and customer safety.
- Up to 25% travel and field work throughout the SCE service territory.
- NERC/CIP-impacted position requiring a Personnel Risk Assessment or background investigation and specified training before unescorted access.
- Work mode may change according to business needs.
Hiring process
- Further details about the hybrid work mode will be discussed during the interview stage.
- Successful candidates must complete the required personnel risk assessment or background investigation and training.
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