AI Engineering Manager: Lead Data-Driven Innovation

PwC International

New York (NY)

On-site

USD 99,000 - 252,000

Full time

6 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401k
Paid time off

Job summary

PwC is seeking a Manager on the AI Engineering team within Digital Assurance & Technology in New York. You will lead AI/ML initiatives, design algorithms, and transform data into actionable insights to drive business growth.

The role includes mentoring staff, directing client workstreams, and upholding professional standards. Responsibilities include evaluating AI systems, developing reusable tools, and guiding data infrastructure and governance to ensure reliable deployment and outcomes for

Qualifications

  • Bachelor's degree required.
  • 4+ years in AI/data science or assurance.

Responsibilities

  • Lead development and implementation of advanced AI/ML solutions to drive innovation and enhance business processes.
  • Design and optimize algorithms, models, and systems to enable intelligent decision-making and automation.
  • Transform raw data into actionable insights to support informed decision-making and drive business growth.
  • Mentor team members to leverage their strengths and manage performance to meet client expectations.
  • Define testing approaches for AI system behavior, performance, and robustness.

Skills

Analytics/Data Science
Artificial Intelligence/Robotics
Python
Data modeling
Machine Learning
Team leadership

Education

Bachelor's degree

Tools

Python
Relational Databases

Job description

PwC is seeking a Manager on the AI Engineering team within Digital Assurance & Technology in New York. You will lead AI/ML initiatives, design algorithms, and transform data into actionable insights to drive business growth.

The role includes mentoring staff, directing client workstreams, and upholding professional standards. Responsibilities include evaluating AI systems, developing reusable tools, and guiding data infrastructure and governance to ensure reliable deployment and outcomes for

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