AI-Driven Enterprise Cloud Security Lead

PwC; New York (NY); On-site; USD 124,000 - 280,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k plan

Paid holidays

Vacation

Sick leave

Job summary

PwC is seeking an SRE - Enterprise & Cloud Security - AI Driven Security - Senior Manager to lead data-driven security initiatives for clients in the Cyber, Data & Tech Risk practice. You will design AI-enabled security solutions, mentor teams, and communicate complex findings to executives, balancing technical excellence with client outcomes.

Responsibilities include building scalable AI systems, integrating data pipelines, and applying Python/Java/C++ to security applications, while

Qualifications

• Bachelor's degree required.
• 7+ years of experience in security or related field.
• Experience designing AI-driven security solutions and ML models.

Responsibilities

• Design and implement AI-driven security solutions for enterprise and cloud.
• Lead teams in developing and deploying scalable AI systems and ML models.
• Transform data into actionable insights for decision-making.
• Integrate data infrastructure to support AI/ML initiatives.
• Apply Python, Java, and C++ to security applications.
• Model data patterns and optimize security measures.
• Collaborate with stakeholders to validate outcomes and incorporate feedback.
• Direct teams through challenging situations with strategic questioning.
• Promote open-source ML libraries like TensorFlow and Scikit-Learn.
• Coach and motivate teams to drive AI security innovation.

Skills

AI-driven security

Team leadership

Data analysis

Systems thinking

Communication to executives

Open-source ML libraries

Education

Bachelor's degree

7+ years experience

Tools

Python

Java

C++

Job description

PwC is seeking an SRE - Enterprise & Cloud Security - AI Driven Security - Senior Manager to lead data-driven security initiatives for clients in the Cyber, Data & Tech Risk practice. You will design AI-enabled security solutions, mentor teams, and communicate complex findings to executives, balancing technical excellence with client outcomes.

Responsibilities include building scalable AI systems, integrating data pipelines, and applying Python/Java/C++ to security applications, while