CTIO - AI Engineer- Senior Manager

PricewaterhouseCoopers•Raleigh, NY

4d•Remote

About The Position

As a CTIO - AI Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams. In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Your ability to validate outcomes with clients, share alternative perspectives, and act on client feedback will be crucial. You will direct teams through complexity, demonstrating composure in challenging situations, and deepen your skills with a focus on staying relevant.

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: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
Demonstrating advanced skills in data science algorithms and workflows
Utilizing machine learning and deep learning techniques effectively
Excelling in complex data analysis and predictive modeling
Leading teams through ambiguity with strategic questioning
Innovating processes with data-driven decision making
Applying systems thinking to identify opportunities and challenges

Responsibilities

Leading the design and development of advanced data solutions to transform raw data into actionable insights
Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions
Overseeing the implementation of machine learning algorithms and predictive modeling techniques
Collaborating with clients to validate outcomes and incorporate feedback into data solutions
Directing teams through complex projects, maintaining composure in challenging situations
Applying systems thinking to identify underlying problems and opportunities within data sets
Coaching and motivating diverse teams to achieve operational excellence in data science initiatives
Innovating processes to enhance data quality and integrity across analytics frameworks
Utilizing programming languages and machine learning libraries to optimize data workflows and pipelines