Job description

The Opportunity As an SRE - Enterprise & Cloud Security - AI Driven Security - 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 apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Responsibilities - Leading the design and development of AI-driven security solutions to enhance enterprise and cloud security - Managing and mentoring teams to deliver data and analytics engineering projects that transform raw data into actionable insights - Implementing machine learning models and AI systems to support scalable software and platform solutions - Overseeing the integration and deployment of data infrastructure and pipelines to support AI and machine learning initiatives - Utilizing programming languages such as Python and C++ to develop and optimize AI algorithms and models - Conducting complex data analysis to identify patterns and insights that drive business growth and decision-making - Collaborating with stakeholders to address data challenges and improve data quality and integration - Promoting the adoption of innovative technologies and practices within the cybersecurity and privacy domain - Confirming compliance with professional and technical standards in all deliverables - Encouraging team development by fostering an environment of learning and skill enhancement What You Must Have - At least a Bachelor's degree - At least 5 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 proficiency in AI implementation and machine learning libraries - Excelling in strategic planning and mentoring junior staff - Embracing technology and innovation to enhance client delivery - Managing projects with a focus on planning, budgeting, and execution The salary range for this position is: $99,000 - $232,000. 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

Leading the design and development of AI-driven security solutions to enhance enterprise and cloud security
Managing and mentoring teams to deliver data and analytics engineering projects that transform raw data into actionable insights
Implementing machine learning models and AI systems to support scalable software and platform solutions
Overseeing the integration and deployment of data infrastructure and pipelines to support AI and machine learning initiatives
Utilizing programming languages such as Python and C++ to develop and optimize AI algorithms and models
Conducting complex data analysis to identify patterns and insights that drive business growth and decision-making
Collaborating with stakeholders to address data challenges and improve data quality and integration
Promoting the adoption of innovative technologies and practices within the cybersecurity and privacy domain
Confirming compliance with professional and technical standards in all deliverables
Encouraging team development by fostering an environment of learning and skill enhancement
What You Must Have
At least a Bachelor's degree
At least 5 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 proficiency in AI implementation and machine learning libraries
Excelling in strategic planning and mentoring junior staff
Embracing technology and innovation to enhance client delivery
Managing projects with a focus on planning, budgeting, and execution

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

aimachine learningpythonawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k