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

PwC•Washington, DC

1d•$99,000 - $232,000

About The Position

As an SRE - Enterprise & Cloud Security - AI Driven Security Manager within PwC’s Cyber, Data & Tech Risk practice, you will apply data, algorithms, and software engineering to build and deploy AI and machine learning solutions at scale. You will lead teams and manage client accounts, with a focus on strategic planning and mentoring junior staff. You will be accountable for project success and maintaining professional and technical standards. The role involves motivating, developing, and inspiring others to deliver quality, coaching team members, leveraging their strengths, and managing performance to meet client expectations. You will identify opportunities that contribute to the Firm’s success, lead with integrity and authenticity, and promote technology and innovation in client delivery. The position requires at least a bachelor's degree and five years of experience. Travel may be required up to 60%. The stated salary range is $99,000–$232,000, with actual compensation dependent on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus.

Requirements

At least a bachelor's degree.
At least five years of experience.

Nice To Haves

A field of study such as Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering.
Certifications aligned to data engineering, machine learning, or cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Proficiency in AI implementation and machine learning libraries.
Strategic planning and mentoring skills.
Ability to use technology and innovation to enhance client delivery.
Project management experience focused on planning, budgeting, and execution.

Responsibilities

Lead the design and development of AI-driven security solutions to enhance enterprise and cloud security.
Manage and mentor teams delivering data and analytics engineering projects that transform raw data into actionable insights.
Implement machine learning models and AI systems to support scalable software and platform solutions.
Oversee integration and deployment of data infrastructure and pipelines supporting AI and machine learning initiatives.
Use programming languages such as Python and C++ to develop and optimize AI algorithms and models.
Conduct complex data analysis to identify patterns and insights that inform decision-making and business growth.
Collaborate with stakeholders to address data challenges and improve data quality and integration.
Promote innovative technologies and practices in cybersecurity and privacy.
Confirm that deliverables comply with professional and technical standards.
Foster team development through learning and skill enhancement.