Job description

The Opportunity 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. 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 What You Must Have - At least a Bachelor's degree - At least 6 years of experience What Sets You Apart - 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 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. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: pwc.to As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.  PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Requirements

Must-haves

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
What You Must Have
At least a Bachelor's degree
At least 6 years of experience
What Sets You Apart
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k