Tax Innovation - AI Engineer - Senior Manager

PricewaterhouseCoopers•Dallas, TX

1d•Onsite

About The Position

As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams. In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.

Requirements

At least a Bachelor's degree
At least 6 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
Leading AI implementation projects to enhance performance and capabilities
Managing data infrastructure to promote data sharing and consumption
Integrating data from diverse sources into unified views
Modeling data to support efficient management and integrity
Utilizing Python for programming and machine learning applications

Responsibilities

Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
Managing data pipelines to validate accurate and timely data movement across systems
Developing data models to organize and represent data in a structured manner, supporting decision-making processes
Implementing machine learning and natural language processing techniques to drive innovation in data analytics
Utilizing Python programming to build and refine data analytics solutions
Conducting rapid experimentation to test new ideas and improve data-driven strategies
Providing coaching and feedback to develop team skills and performance in data and analytics engineering
Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making