Lead design and delivery of AI/ML solutions: build and optimize models, transform data into insights, manage projects and budgets, mentor teams, liaise with clients, and uphold technical and professional standards.
The Opportunity
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth within our Data and Analytics Engineering practice. You will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. 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.
In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. Embrace technology and innovation to enhance your delivery and encourage others to do the same, contributing to the success of our firm.
Responsibilities
- Leading the development and implementation of advanced AI and machine learning solutions to drive innovation and enhance business processes
- Designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation
- Transforming raw data into actionable insights to support informed decision-making and drive business growth
- Supervising and coaching teams to deliver quality work and meet client expectations
- Analyzing and identifying linkages and interactions within complex systems to improve efficiency and effectiveness
- Taking ownership of projects, including planning, budgeting, execution, and completion
- Collaborating with team leadership to maintain collective ownership of quality, timelines, and deliverables
- Encouraging skill development outside comfort zones and mentoring team members to deepen their skills
- Addressing conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders
- Upholding professional and technical standards, including the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 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
- Excelling in managing client support and engagement
- Leveraging skills in data and analytics engineering
- Embracing technology and innovation in project execution
- Motivating and inspiring teams to deliver quality results
The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. 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: 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. 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.
As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth within our Data and Analytics Engineering practice. You will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. 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.
In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. Embrace technology and innovation to enhance your delivery and encourage others to do the same, contributing to the success of our firm.
Responsibilities
- Leading the development and implementation of advanced AI and machine learning solutions to drive innovation and enhance business processes
- Designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation
- Transforming raw data into actionable insights to support informed decision-making and drive business growth
- Supervising and coaching teams to deliver quality work and meet client expectations
- Analyzing and identifying linkages and interactions within complex systems to improve efficiency and effectiveness
- Taking ownership of projects, including planning, budgeting, execution, and completion
- Collaborating with team leadership to maintain collective ownership of quality, timelines, and deliverables
- Encouraging skill development outside comfort zones and mentoring team members to deepen their skills
- Addressing conflicts or issues by engaging in difficult conversations with clients, team members, and stakeholders
- Upholding professional and technical standards, including the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 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
- Excelling in managing client support and engagement
- Leveraging skills in data and analytics engineering
- Embracing technology and innovation in project execution
- Motivating and inspiring teams to deliver quality results
The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. 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: 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. 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.
PwC El Segundo, California, USA Office
2141 Rosecrans Avenue Suite 5100, El Segundo, CA, United States, 90245
PwC Irvine, California, USA Office
2020 Main Street Suite 400, Irvine, CA, United States, 92614
PwC Los Angeles, California, USA Office
601 South Figueroa Street Suite 900, Los Angeles, CA, United States, 90017
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
