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Develop predictive models and analytics to prioritize vulnerabilities by contextual risk and business impact. Structure and analyze large security telemetry datasets, build ML/statistical algorithms to remove scanning noise and false positives, and create unified data delivery pipelines and dashboards to drive data-driven security governance. Operate autonomously and collaborate with security stakeholders.

Build predictive models and analytics to prioritize vulnerabilities by risk and business impact. Process large security telemetry datasets, create ML/statistical models to remove scanning noise/false positives, and deliver unified data structures and dashboards to enable data-driven security governance.

Design and implement predictive models and analytics to prioritize vulnerabilities by contextual risk. Analyze large security telemetry, build ML/statistical algorithms to reduce scan noise and false positives, and deliver unified dashboards to enable data-driven security governance.

Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact; process and analyze large-scale security telemetry; build ML/statistical models to remove scanning noise and false positives; and create unified data delivery structures and dashboards to enable data-driven security governance.

Lead development of predictive models and analytics to prioritize vulnerabilities, clean and analyze large security telemetry, build ML/statistical algorithms to reduce false positives, and create unified dashboards to enable data-driven security governance.

Develop predictive models and analytics to prioritize vulnerabilities by contextual risk; analyze large security telemetry datasets; build ML/statistical models to filter scanning noise and false positives; and create unified data delivery structures and dashboards to enable data-driven security governance.

Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact. Analyze large-scale security telemetry, build ML/statistical models to reduce scanning noise and false positives, and create unified dashboards to enable data-driven security governance.

Lead global delivery of a large enterprise security program across distributed, follow-the-sun teams. Align five workstreams, manage cross-regional dependencies, run Agile ceremonies, mitigate risks, and provide executive reporting on velocity, budget, and milestones. Requires expertise in vulnerability management lifecycles or cloud security and experience in regulated environments.

Design and build automated security layers within the SDLC, engineer AI-enabled secure code scanning, integrate and tune SAST/DAST/SCA into CI/CD, create security runbooks and golden images, and provide code-level remediation guidance for Java/Python applications.

Develop predictive models and analytics to prioritize vulnerabilities by risk and business impact, clean and analyze large security telemetry datasets, build ML/statistical models to remove scanning noise and false positives, and create unified dashboards and data delivery to support data-driven security governance.