NGA AI Engineer Manager

PwC•Tampa, FL

9d•$73,500 - $244,000

About The Position

As part of PwC’s Data and Analytics Engineering team, the NGA AI Engineer Manager leads the development of innovative AI solutions that drive client outcomes. The Manager supervises, develops, and coaches teams while managing client service accounts and ensuring delivery of quality results that meet or exceed expectations. The role also involves cultivating client relationships, driving continuous improvement, and using technology and innovation to enhance project delivery. The role draws on data and analytics engineering, data science, and machine learning practices to turn data into actionable insights and support data-driven decision-making. The Manager is expected to lead with integrity, motivate and develop others, manage performance, and uphold professional and technical standards. The position may require travel up to 60%.

Requirements

High school diploma.
At least 4 years of experience.
Exceptional team leadership abilities.
Ability to manage client service accounts and deliver exceptional outcomes.
Ability to foster a collaborative environment for innovation.
Ability to analyze complex datasets and derive actionable insights.
Ability to implement industry standards for project management.
Ability to cultivate client relationships and understand client needs.
Ability to drive continuous improvement within teams.
Understanding of production-grade quality gates and monitoring.

Nice To Haves

Master’s degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence, or Robotics.

Responsibilities

Lead the development of innovative AI solutions for clients.
Supervise, develop, coach, and mentor team members; manage performance and use work reviews to deepen their expertise.
Manage client service accounts and ensure exceptional, quality results are delivered.
Build and maintain client relationships to understand their needs.
Analyze complex datasets to derive actionable insights.
Ensure deliverables meet quality standards and established practices.
Take ownership of projects, including planning, budgeting, execution, and completion.
Partner with team leadership to ensure shared ownership of quality, timelines, and deliverables.
Drive continuous improvement and encourage technology and innovation in project delivery.
Address conflicts or issues with clients, team members, and stakeholders, escalating where appropriate.
Uphold professional and technical standards, the Firm’s code of conduct, and independence requirements.