below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$162,000–$246,225
— the blue band above.
At the midpoint, this role pays about
$202k
versus about
$204k
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
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
JOB TITLE: AI Engineering Lead- Senior Manager- Commercial Technology & Innovation
As an AI Engineering Lead- Senior Manager- Commercial Technology & Innovation within the Advisory practice, you will lead the design and development of robust AI systems to transform raw data into actionable insights. You will manage the deployment of scalable AI and Machine Learning solutions for client projects, overseeing data wrangling and software implementation to enhance model utility. Your daily work involves directing complex data analysis, implementing data integration strategies, and coaching diverse teams to solve intricate problems. You will utilize programming languages including Python, Java, and C++, while leveraging machine learning libraries such as TensorFlow and Scikit-Learn. The role requires expertise in data modeling and cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake to drive business growth.
Lead the design and development of AI systems to transform raw data into actionable insights.
Manage the deployment of scalable AI and Machine Learning solutions for client projects.
Oversee data wrangling and software implementation to enhance AI model utility and scalability.
Develop robust data solutions using programming languages such as Python and C++.
Implement data integration and modeling strategies to support large-scale AI initiatives.
Direct complex data analysis to identify specific opportunities for innovation and business growth.
Collaborate with stakeholders to validate outcomes and incorporate client feedback into solutions.
Coach and motivate diverse teams to solve complex technical problems and achieve project success.
What we're looking for
At least a Bachelor's degree.
At least 7 years of experience.
Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Certifications in data engineering, machine learning, or cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Advanced skills in AI implementation and machine learning libraries (preferred).
Proficiency in programming languages such as Python, Java, and C++.
Excellence in complex data analysis and data modeling techniques (preferred).
Ability to lead teams through ambiguity with sound judgment and strategic advising (preferred).
Python
C++
Machine Learning
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Neural Networks
Reinforcement Learning
Data Pipelines
Data Wrangling
Data Infrastructure
Artificial Intelligence
Machine Learning
Python
Java
C++
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Data Wrangling
Python
TensorFlow
C++
Java
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Natural Language Processing
Machine Learning
Data Engineering
Data Pipelines
Data Wrangling
Deep Learning
Python
Java
C++
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Machine Learning
Data Engineering
AI
Data Modeling
Cybersecurity
Cloud Security
LLMOps
MLOps
Agentic AI
AWS
Azure
Cloud
Data Science
AI Engineering
FinOps
red-teaming
Model Risk Management
Multi-agent Orchestration
Data Governance
AI Security
Explainability
Bias Testing
Deep Learning
Machine Learning
C++
CUDA
GPU Architecture
Parallel Programming
OpenMP
MPI
pthreads
LLMs
Computer Vision
Linear Algebra
Performance Optimization
Multimodal Architectures
C
Software Development