Cyber - AI-Enabled Vulnerability Management - Manager - Consulting

The Opportunity

Clients across every industry look to us for trusted solutions to increasingly complex threats. As a Manager in AI-Enabled Vulnerability Management, you’ll lead teams and client programs that move organizations from scan-and-patch cycles to continuous threat exposure management (CTEM). You’ll set the strategy for how AI is applied across the vulnerability lifecycle and be accountable for both the risk reduction clients realize and the reusable capability we build along the way.

Your key responsibilities

As a Manager on the Vulnerability Management team, you would: 

• 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 approaches using threat intelligence, exploit prediction, reachability, attack path context, and business criticality.

• Direct the build of AI and agentic workflows that extend beyond ticket creation into orchestrated patching, IaC, and validated remediation. 
• Advise clients on vulnerability management controls aligned to regulatory, audit, and industry frameworks.

• Set the standard for how AI output is evaluated and trusted — benchmarking against human baselines and measuring false-positive reduction and time-to-remediate. 

• Own AI governance in client environments, including guardrails, human-in-the-loop thresholds, auditability, and client risk acceptance. 

• Manage engagement delivery end to end — scope, budget, staffing, risk, and quality — and advise client IT, cloud, and security leadership. 

• Build reusable accelerators, reference architectures, and delivery assets, and help shape the offering’s roadmap and go-to-market. 

• Lead client efforts to extend vulnerability management to AI systems, covering model, prompt, integration, and supply chain weaknesses. 
• Develop executive dashboards and risk metrics that demonstrate exposure reduction, remediation performance, and business impact.

• Mentor senior and junior practitioners, and represent EY in industry groups, conferences, and events. 

Skills and attributes for success

You’ll need a blend of technical, leadership, and business skills, along with the judgment to set direction and take accountability for outcomes. 

• Human-forward skills — empathy, curiosity, adaptability, and clear communication. 
• Advanced problem-solving and the judgment to decide with incomplete information. 
• The ability to set the standard for validating AI output across a team. 
• A bias toward building reusable capability over repeatable effort. 
• Digital and learning agility in adopting new AI tooling, and in helping teams do the same. 
• A platform-agnostic mindset, evaluating tooling based on client need rather than a single vendor stack. 
• The ability to lead, develop, and retain high-performing teams while remaining accountable for quality. 
• The ability to engage senior client stakeholders and escalate risks and opportunities appropriately. 

To qualify for the role, you must have:

• 6+ years of relevant experience in vulnerability or exposure management, with some 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 VM programs across the full lifecycle, using platforms such as Tenable, Qualys, Rapid7, Wiz, Microsoft Defender, or equivalent. 
• Production experience applying AI or machine learning to vulnerability management at scale, including guiding teams in doing the same. 
• Experience contributing to business development and offering development — proposals, pursuits, or building new service offerings. 

Ideally, you’ll also have

• Experience defining evaluation or benchmarking approaches for AI-assisted security workflows. 
• Experience with automated remediation — patch orchestration, IaC fixes, or pull-request-generated fixes with rollback. 
• Experience establishing governance for AI used in client environments. 
• A relevant certification in AI security, vulnerability management, or cybersecurity, or the 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 that demonstrate risk reduction. 
• Proficiency with consulting methods including scoping, estimating, staffing, and engagement economics. 

What we look for

We seek top performers with deep understanding of the vulnerability landscape and the capacity to lead teams in a dynamic, client-driven environment — people who manage today’s exposure while anticipating tomorrow’s.

What we offer you
At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• The salary range for this job is:
  • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $173,900 to $290,100
  • Bay Area California offices – $181,200 to $302,100
  • All other offices locations in the US, including Sacramento – $144,900 to $265,800
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.  In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Are you ready to shape your future with confidence? Apply today.                                          

• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click herefor additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people.  Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

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