Tax Innovation - AI Engineer - Senior Manager

About the role

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 build trust with multi-level teams and stakeholders, motivate and coach teams to solve complex problems, and apply sound judgment to develop high-performing, diverse, and inclusive teams.

In this role, you will oversee the design, development, and maintenance of data infrastructure, ensuring 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.

Responsibilities

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

Requirements

• At least a Bachelor's degree
• At least 6 years of experience

Qualifications

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
• Experience leading AI implementation projects to enhance performance and capabilities
• Experience managing data infrastructure to promote data sharing and consumption
• Experience integrating data from diverse sources into unified views
• Experience modeling data to support efficient management and integrity
• Proficiency utilizing Python for programming and machine learning applications

Pay

The salary range for this position is $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

• Medical, dental, and vision coverage
• 401k retirement plan
• Holiday pay
• Vacation time
• Personal and family sick leave
• Additional benefits (view at PwC Benefits at a Glance)