Tax Innovation - AI Engineer - Senior Manager

As a Senior Manager in Tax Innovation - AI Engineering, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. You will act as a strategic advisor, driving project success and building trust with multi-level teams and stakeholders. This role involves motivating and coaching teams to solve complex problems, applying sound judgment to develop high-performing, diverse, and inclusive teams, and overseeing the design, development, and maintenance of data infrastructure.

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.
• 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 in 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, and 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 available; view a summary here.