Chief Cybersecurity AI/ML Strategist
4 weeks ago
Key Responsibilities:
• Lead and manage a team of AI/ML data scientists and researchers to drive innovation in cybersecurity.
• Develop and implement the overarching AI/ML strategy for cybersecurity, aligning it with business objectives.
• Provide both strategic and tactical guidance including thought leadership on the adoption and integration of cutting-edge AI/ML technologies.
• Collaborate with cross-functional teams and security subject matter experts to understand emerging threats and develop solutions into the cybersecurity framework.
• Experienced in detailing, writing, and conveying technical requirements to support Engineering and Architecture decisions.
• Oversee the development of advanced analytics models for threat detection, response, and prediction to identify patterns, anomalies, and trends.
• Stay abreast of industry trends and advancements in AI/ML and cybersecurity to inform strategic decision-making.
• Work closely with cybersecurity experts to understand emerging threats and develop proactive defense measures.
• Foster a culture of continuous learning, research, and experimentation within the AI/ML cybersecurity team.
Requirements:
• Master's or Ph.D. in Data Science, Computer Science, Cybersecurity, Machine Learning, Artificial Intelligence, or a related field.
• Proven technical experience in applying machine learning and data science techniques to cybersecurity challenges.
• Demonstrated ability to drive results, make strategic decisions, and lead a high-performing team.
• Knowledge of cybersecurity principles, protocols, technologies, domain topics, and threat analysis.
• Strong programming skills in languages such as Python, R, Bash, Java, etc.
• Experience with Cloud Service Providers (e.g., AWS, GCP, Azure), containers (e.g., Docker, Kubernetes), virtualization techniques (e.g. Hypervisors), big data technologies (e.g., Spark, Athena, Redshift, Bigquery), and data visualization tools (e.g., Tableau, PowerBI).
• Excellent communication and interpersonal skills, with the ability to articulate complex technical models to both technical and non-technical stakeholders.
• Industry certifications in cybersecurity (e.g., CISSP, CISM, GSEC, GCIH, GCFA, etc).
• Previous experience in a leadership role within a cybersecurity or AI/ML-focused organization.
• Desire to thrive at Equinix and change the way the world connects.
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