AI Engineering Lead & Data Science Manager

PwC; Los Angeles (CA); On-site; USD 99,000 - 252,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Job summary

PwC is seeking an AI Engineering Manager to lead AI/ML projects within the Digital Assurance & Technology team in LA. The role focuses on transforming raw data into actionable insights and driving automation across client engagements.

You will mentor junior staff, manage client accounts, and ensure delivery quality while upholding PwC standards and ethics. Experience in AI deployment and data infrastructure is highly valued.

Qualifications

• Bachelor's degree required.
• 4+ years of experience in a relevant field.
• Experience leading AI/ML projects and data initiatives preferred.

Responsibilities

• Lead the development and delivery of AI/ML solutions for clients.
• Design and optimize algorithms, models, and data systems for intelligent decisions.
• Transform raw data into actionable insights to drive business growth.
• Manage complex data analysis and integration to improve data quality and infrastructure.
• Oversee data modeling and relational database management to support data solutions.
• Mentor team members and manage performance to meet client expectations.
• Engage with clients to address issues and communicate findings clearly.
• Uphold PwC standards, independence requirements, and code of conduct.
• Encourage cross-functional collaboration and continuous learning.
• Define testing approaches for AI system behavior, performance, and bias.

Skills

AI/ML leadership

Python

Data modeling

Team mentoring

Client management

Education

Bachelor's degree

Tools

SQL

Relational databases

Job description

PwC is seeking an AI Engineering Manager to lead AI/ML projects within the Digital Assurance & Technology team in LA. The role focuses on transforming raw data into actionable insights and driving automation across client engagements.

You will mentor junior staff, manage client accounts, and ensure delivery quality while upholding PwC standards and ethics. Experience in AI deployment and data infrastructure is highly valued.