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Design and implement predictive models and analytics to prioritize vulnerabilities by risk and business impact. Structure and analyze large security telemetry datasets, build ML/statistical models to reduce scanning noise and false positives, and deliver unified data dashboards to support data-driven security governance.

Serve as dedicated Agile facilitator for a global DevSecOps engineering program. Facilitate ceremonies across follow-the-sun teams, remove cross-regional blockers, evolve Agile processes for DevSecOps/SRE/Data Science, and maintain collaborative, psychologically safe distributed teams. Work closely with TPMs and SDMs to ensure uninterrupted delivery.

Design and deploy predictive models and ML/statistical algorithms to prioritize vulnerabilities by risk and business impact, reduce scanning noise/false positives, analyze large security telemetry, and build unified data delivery and dashboards for security governance.

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. Analyze large security telemetry datasets, create ML/statistical models to remove scan noise and false positives, and deliver unified dashboards to enable data-driven security governance. Role requires autonomous execution and commercial vulnerability-management experience.

Build predictive models and analytics to prioritize vulnerabilities by risk and business impact, process large security telemetry datasets, develop ML/statistical methods to remove scanning noise and false positives, and create unified data delivery and dashboards for security governance adoption.

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.