
10,000+ employees
Founded 1989
🏥 Healthcare
⚖️ Legal
📣 Marketing
Healthcare • Legal • Marketing
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
🕒 September 14
🏄 California – Remote
💵 $144.9k - $265.8k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
👻 Ghost score 11%
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10,000+ employees
Founded 1989
🏥 Healthcare
⚖️ Legal
📣 Marketing
Healthcare • Legal • Marketing
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
• Lead the design and delivery of AI-enabled vulnerability and exposure management programs across enterprise environments • Own the asset and exposure data foundation and define risk-based prioritization using threat intelligence, exploit prediction, reachability, attack path context, and business criticality • Direct AI and agentic workflows for orchestrated patching, IaC, and validated remediation • Advise clients on vulnerability management controls aligned to regulatory, audit, and industry frameworks • Establish standards for evaluating and trusting AI output, including human baselines, false-positive reduction, and time-to-remediate measurement • Own AI governance in client environments, including guardrails, human-in-the-loop thresholds, auditability, and client risk acceptance • Manage engagement delivery end to end, including scope, budget, staffing, risk, and quality • Advise client IT, cloud, and security leadership • Build reusable accelerators, reference architectures, and delivery assets • Help shape the offering roadmap and go-to-market • Lead efforts to extend vulnerability management to AI systems, covering model, prompt, integration, and supply chain weaknesses • Develop executive dashboards and risk metrics demonstrating exposure reduction, remediation performance, and business impact • Mentor senior and junior practitioners • Represent EY in industry groups, conferences, and events
• 6+ years of relevant experience in vulnerability or exposure management, with some experience in professional services or similar • No bachelor’s degree is required • Demonstrated leadership experience managing and mentoring teams and owning delivery quality across concurrent workstreams • Hands-on experience leading enterprise vulnerability management programs across the full lifecycle • Experience with platforms such as Tenable, Qualys, Rapid7, Wiz, Microsoft Defender, or equivalent • Production experience applying AI or machine learning to vulnerability management at scale • Experience contributing to business development and offering development, including proposals, pursuits, or building new service offerings • Experience defining evaluation or benchmarking approaches for AI-assisted security workflows • Experience with automated remediation, including patch orchestration, IaC fixes, or pull-request-generated fixes with rollback • Experience establishing governance for AI used in client environments • Relevant certification in AI security, vulnerability management, or cybersecurity, or ability to acquire one after employment • Experience assessing or securing AI and machine learning systems • Strong written and verbal communication with clients, senior leaders, and technical teams • Experience defining VM metrics, KPIs, and executive dashboards demonstrating risk reduction • Proficiency with consulting methods including scoping, estimating, staffing, and engagement economics
• Medical and dental coverage • Pension plan • 401(k) plan • Wide range of paid time off options • Professional growth • Personal fulfillment • Inclusive culture • Reasonable accommodation for qualified individuals with disabilities, including veterans with disabilities
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