US Tech - AI Engineering Manager

Industry/Sector
Not Applicable

Specialism
Data Science

Management Level
Manager

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's 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.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions.

Responsibilities

- Mentor junior engineers and foster their growth
- Maintain security and scalability of AI-powered solutions
- Collaborate with cross-functional teams to achieve project goals
- Stay at the forefront of technological advancements in AI

What You Must Have

- Bachelor's Degree
- At least 6 years of experience in software, platform, or cloud engineering, including people leadership
- In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

What Sets You Apart

- Master's Degree preferred
- Demonstrating proven experience leading cloud and platform engineering teams
- Offering hands-on experience with Azure, Dev Ops, and enterprise integration patterns
- Bringing systems thinking to design end-to-end platforms
- Coaching and mentoring engineers to foster a culture of excellence
- Managing delivery plans, dependencies, and risks effectively
- Operating production platforms with a focus on reliability and security
- Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities
- Defining and enforcing automated testing…