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About the Role

As an SRE - Enterprise & Cloud Security - AI Driven Security - Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Cyber, Data & Tech Risk practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. Your ability to develop and sustain diverse and inclusive teams, along with your commitment to excellence, will contribute to the success of our firm.

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

Skills

AI implementation
Machine learning libraries
Python
Java
C++
Data modeling
Data analysis
Systems thinking
Cybersecurity
Cloud security
AI-driven security solutions
TensorFlow
Scikit-Learn

Location

Remote
Hybrid

Work Type

Full-time
Contract

Experience Level

Senior Manager
7 years of experience

Education Level

Bachelor's degree

Salary/Compensations

$124,000 - $280,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

About the Company

PwC is an equal opportunity employer.
Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

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.
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.
At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.