AI Engineering Lead- Senior Manager- Commercial Technology & Innovation

PricewaterhouseCoopers•Dallas, NY

3d•Remote

About The Position

As an AI Engineering Lead, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Senior Manager, you will apply your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will navigate through ambiguity, demonstrating composure and applying sound judgment to drive project success. In this role at PwC, you will focus on building and deploying AI and Machine Learning solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will craft and convey clear, impactful messages, validate outcomes with clients, and act on feedback to enhance solutions. Your ability to develop and sustain diverse and inclusive teams contributes to the overall success of our firm, fostering a culture of continuous improvement and innovation.

Requirements

At least a Bachelor's degree
At least 7 years of experience

Nice To Haves

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 advanced skills in AI implementation and machine learning libraries
Utilizing programming languages such as Python, Java, and C++
Excelling in complex data analysis and data modeling techniques
Innovating with open-source software and rapid experimentation
Leading teams through ambiguity with sound judgment and strategic advising

Responsibilities

Leading the design and development of AI systems to transform raw data into actionable insights
Managing the deployment of scalable AI and Machine Learning solutions for client projects
Overseeing data wrangling and software implementation to enhance AI model utility and scalability
Guiding teams in applying advanced data engineering techniques to drive business growth
Utilizing programming languages such as Python and C++ to develop robust data solutions
Implementing data integration and modeling strategies to support AI initiatives
Directing complex data analysis to identify opportunities for innovation and improvement
Collaborating with stakeholders to validate outcomes and incorporate client feedback
Promoting the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn
Coaching and motivating diverse teams to solve complex problems and achieve project success