Principal Cyber Exposure Management

Key responsibilities: Lead the design and delivery of cyber exposure management capabilities that bring together vulnerability, application security, cloud, and asset risk data. Support frontier-model AI security scanning programs, including testing strategies, scanning harnesses, orchestration, model integration, control points, human review, and evidence capture. Advance the AI VDR operating model by connecting continuous, lower-cost scanning with targeted deep-assurance testing for higher-risk systems. Establish repeatable methods to validate findings, reduce duplicate results, prioritize remediation, and measure exposure reduction. Partner with application, infrastructure, cloud, engineering, architecture, risk, and control teams to integrate security scanning into development and operational workflows. Provide leadership for vulnerability management and application security management, including governance, remediation oversight, exception handling, reporting, and risk-based prioritization. Define requirements and guardrails for secure use of AI models and external scanning capabilities, including isolation, access, approvals, data handling, auditability, and operating limits. Evaluate security platforms, scanning technologies, and internal or third-party harness components based on effectiveness, scalability, integration, control coverage, and cost. Convert technical findings into clear risk decisions, implementation plans, and executive-level reporting. Mentor engineers and influence delivery teams without relying solely on direct authority.

Preferred skills and experience: Strong experience in cyber exposure management, vulnerability management, application security, or security engineering. Knowledge of application and software security testing, including static analysis, dynamic analysis, software composition analysis, penetration testing, and secure development practices. Experience integrating security tools with software delivery pipelines, cloud platforms, application inventories, ticketing systems, and reporting platforms. Understanding of AI and large language model security, AI-assisted testing, agentic workflows, model evaluation, prompt and tool abuse risks, and responsible human oversight. Ability to design or lead automation using application programming interfaces, scripting, workflow orchestration, and data integration. Experience with risk-based prioritization that considers technical severity, exploitability, asset criticality, business impact, and compensating controls. Strong governance and stakeholder-management skills, with the ability to work across cybersecurity, technology, risk, legal, audit, and business teams. Clear written and verbal communication, including the ability to explain complex technical issues to senior leaders. The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.