The posting
Job Description:
DXC’s Global Cyber Security team is building a more mature, comprehensive approach to cyber risk management and a risk-aware culture across the company. The goal is a clearer view of risk across our technology landscape, so we can better protect it and direct our risk mitigation investments where they matter most.
We are looking for an experienced Vulnerability Management Lead to own and run the enterprise vulnerability management lifecycle. You will be responsible for finding, prioritizing, driving the remediation of, and reporting on security vulnerabilities across DXC’s global infrastructure and applications, and you will make sure this work happens on time and at scale.
If you have a track record of leading vulnerability programs in large, complex environments and can turn scanning data into clear decisions for both technical teams and leadership, we’d like to hear from you
Vulnerability Management Lead: Key Responsibilities (AI-Scale Identification and Remediation)
AI-driven identification at scale
- Lead the adoption and operation of AI-enabled vulnerability discovery tools, including frontier models such as Claude Mythos-class systems, to find and triage vulnerabilities across code, infrastructure, and applications at a pace traditional scanning cannot match.
- Define how AI-generated findings are validated, deduplicated, and turned into actionable tickets, so that increased discovery volume leads to better decisions rather than alert fatigue.
- Coordinate with partner programs and trusted access arrangements where advanced models are available only to vetted organizations, and maintain the internal readiness to use them when access is granted.
Prioritization for compressed exploit timelines
- Build prioritization workflows that account for faster weaponization, combining AI-assessed exploitability, threat intelligence, known exploited vulnerability feeds, asset criticality, and exposure.
- Set and enforce accelerated remediation targets for vulnerabilities likely to be exploited quickly, and define when emergency change processes should be triggered.
- Monitor for AI-assisted exploit development and mass-exploitation campaigns, and direct rapid response when a vulnerability class is being weaponized across the industry.
Remediation at scale
- Design automated remediation pipelines where safe, including automated patch deployment, configuration fixes, pull requests for code-level issues, and infrastructure-as-code corrections, with human approval gates for high-risk changes.
- Drive remediation with asset and application owners, and provide them with AI-assisted fix guidance while requiring verification that the fix is correct and does not introduce regressions.
- Verify remediation through automated rescanning and retesting, and track closure quality, not only closure counts.
Program governance and risk acceptance
- Govern exceptions and risk acceptances with clear criteria, time limits, and senior sign-off, including cases where AI tooling identifies issues with no available fix.
- Ensure that AI-driven discovery is coordinated with responsible disclosure obligations and vendor notification processes.
- Maintain audit-ready evidence of discovery coverage, prioritization decisions, and remediation outcomes for customers, regulators, and internal governance bodies.
Reporting and metrics
- Report on vulnerability posture, backlog, mean time to remediate, time-to-exploit exposure, and automation coverage, tailored for technical teams, executives, and the board.
- Measure the program’s effectiveness at scale, including the percentage of findings resolved automatically, false-positive rates from AI tools, and the reduction in exposure window for high-risk issues.
Securing AI systems themselves
- Extend the vulnerability management program to cover AI systems, models, agents, and their supporting infrastructure, including prompt injection, data poisoning, model supply chain, and insecure tool integrations.
Team, tooling, and stakeholders
- Lead and develop a team that combines vulnerability management expertise with AI, automation, and software engineering skills.
- Select and integrate tooling across scanning, AI analysis, ticketing, and orchestration platforms, and manage vendor relationships and budgets.
- Partner with IT operations, cloud, application development, security operations, and business leaders to embed remediation into delivery, and build a risk-aware culture across the company.
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $167,000 - $346,800.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
If you are an applicant from the United States, Guam, or Puerto Rico
DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. View postings below.
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