AI Engineering Lead, Director, Commercial Technology & Innovation

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYDallas, TXTampa, FLAtlanta, GAChicago, IL
Salary
$155,000–$410,000 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k
This role $282k
$124k most similar roles pay here $441k

This role pays more than 79% of similar roles. Most pay $185,000–$265,625 — the shaded band above. At the midpoint, this role pays about $282k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · AI Engineering Lead, Director, Commercial Technology & Innovation

Role Posting Log in to save

As an AI Engineering Lead- Director- Commercial Technology & Innovation within the Advisory practice, you will lead the design, development, and deployment of robust data solutions to transform raw data into actionable insights for clients. You will oversee multiple projects, manage complex data analysis, and drive business growth by identifying market opportunities. Your daily work involves building scalable Artificial Intelligence and Machine Learning systems, managing data infrastructure, and performing data wrangling to ensure models are functional at scale. To succeed, you must utilize programming languages including Python, Java, and C++, alongside advanced machine learning libraries like TensorFlow and Scikit-Learn. You will also navigate cloud platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake while developing complex data models and pipelines to solve intricate problems through rapid experimentation and technical innovation.

Skills

Artificial Intelligence Machine Learning Python Java C++ TensorFlow Scikit-Learn AWS Cloud Platform Microsoft Azure Databricks Snowflake Data Engineering Data Wrangling Software Engineering Data Analysis

What you'll do

  • Design and deploy AI systems to transform raw data into actionable insights for clients.
  • Oversee the development of scalable machine learning solutions using advanced technologies.
  • Drive business growth by identifying market gaps and converting opportunities into successful engagements.
  • Manage complex data analysis, integration, and infrastructure to support robust AI model implementation.
  • Develop software and platform systems using programming languages like Python and Java.
  • Mentor and guide engineering teams to foster innovation and technical creativity.
  • Collaborate with clients to shape the direction of AI-driven solutions and projects.

What we're looking for

  • At least a Bachelor's degree.
  • At least 9 years of experience.
  • Degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
  • Certifications in data engineering, machine learning, and cloud platforms like AWS, Google Cloud, Azure, Databricks, or Snowflake (preferred).
  • Experience leading AI implementation projects with a focus on innovation (preferred).
  • Proficiency using advanced machine learning libraries like TensorFlow and Scikit-Learn (preferred).
  • Experience developing complex data models and pipelines for analytics (preferred).
  • Excellence in programming languages such as Python and C++ (preferred).

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