Cyber - AI-Enabled Vulnerability Management - Manager - Consulting
$144,900 to $265,800
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Posted today
SENIORITY
Lead
SALARY
$144,900 to $265,800
About the role
- 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
- 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 elevate 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 ForWe 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
