SRE - Enterprise & Cloud Security - AI Driven Security - Senior Manager

Responsibilities

• Designing and implementing AI-driven security solutions to enhance enterprise and cloud security
• Leading teams in the development and deployment of scalable AI systems and machine learning models
• Utilizing advanced data analysis techniques to transform raw data into actionable insights for informed decision-making
• Integrating data infrastructure and pipelines to support AI and machine learning initiatives
• Applying programming skills in Python, Java, and C++ to develop robust AI applications
• Conducting complex data modeling and analysis to identify patterns and optimize security measures
• Collaborating with stakeholders to validate outcomes and incorporate client feedback into security strategies
• Directing teams through challenging situations, demonstrating composure and strategic questioning
• Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn
• Coaching and motivating teams to embrace change and drive innovation in AI security solutions

Requirements

• At least a Bachelor's degree
• At least 7 years of experience
• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating advanced skills in AI implementation and machine learning libraries
• Leading teams through complex cybersecurity and privacy challenges
• Applying systems thinking to identify and solve underlying problems
• Excelling in crafting and conveying clear, impactful messages

Qualifications

• Preference for certifications in data engineering, machine learning, and cloud platforms
• Experience leading teams through complex cybersecurity and privacy challenges
• Advanced skills in AI implementation and machine learning libraries
• Systems thinking to identify and solve underlying problems
• Ability to craft and convey clear, impactful messages

Benefits

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.