Job description

The Opportunity 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. As a Senior Manager, you will apply your skills and network to deliver quality results, motivating and coaching teams to solve complex problems. You will be responsible for crafting and conveying clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. In this role at PwC, you will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. You will interact with clients at a strategic level, driving overall project success. Your ability to develop and sustain diverse and inclusive teams, along with your commitment to excellence, will contribute to the success of our firm. You will validate outcomes with clients, share alternative perspectives, and act on client feedback, all while navigating complex and uncertain situations with composure. 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 What You Must Have - At least a Bachelor's degree - At least 7 years of experience What Sets You Apart - 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 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. All hired individuals are eligible for an annual discretionary bonus. 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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.

Requirements

Must-haves

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
What You Must Have
At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjavaawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k