Tax AI Innovation Leader

PwC; Washington; On-site; USD 124,000 - 335,000; Full time

Job summary

PwC in the United States, Washington, seeks a Tax Innovation - AI Engineer at Senior Manager level to lead AI integration in the Tax practice, driving strategic advisory and building high-performing teams.

You will design, deploy data infrastructures, manage data pipelines, develop data models, and apply ML/NLP techniques to advance analytics while mentoring stakeholders and collaborating across disciplines.

Qualifications

• At least a Bachelor’s degree.
• At least 6 years of experience.

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.

Skills

Python

Data pipelines

Machine learning

Natural language processing

Data modeling

Data infrastructure

Education

Bachelor's degree

Tools

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

PwC in the United States, Washington, seeks a Tax Innovation - AI Engineer at Senior Manager level to lead AI integration in the Tax practice, driving strategic advisory and building high-performing teams.

You will design, deploy data infrastructures, manage data pipelines, develop data models, and apply ML/NLP techniques to advance analytics while mentoring stakeholders and collaborating across disciplines.