below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$159,750–$228,996
— the blue band above.
At the midpoint, this role pays about
$202k
versus about
$194k
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.
As a Senior Manager within the Cyber, Data & Tech Risk practice, you will lead teams to design and implement AI-driven security solutions for enterprise and cloud environments. You will be responsible for developing scalable AI systems, machine learning models, and data infrastructure pipelines to transform raw data into actionable insights. Your daily work involves complex data modeling, identifying patterns to optimize security measures, and managing large projects while interacting with clients at a strategic level. You will utilize programming languages including Python, Java, and C++, alongside machine learning libraries such as TensorFlow and Scikit-Learn. The role requires expertise in cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake to solve intricate cybersecurity and privacy challenges through systems thinking.
Design and implement AI-driven security solutions to enhance enterprise and cloud security.
Lead teams in developing and deploying scalable AI systems and machine learning models.
Transform raw data into actionable insights using advanced data analysis techniques.
Integrate data infrastructure and pipelines to support AI and machine learning initiatives.
Develop robust AI applications using Python, Java, and C++.
Conduct complex data modeling and analysis to identify patterns and optimize security measures.
Validate outcomes with stakeholders and incorporate client feedback into security strategies.
Promote the use of open-source software and machine learning libraries like TensorFlow and Scikit-Learn.
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, and cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Advanced skills in AI implementation and machine learning libraries like TensorFlow and Scikit-Learn (preferred).
Experience leading teams through complex cybersecurity and privacy challenges (preferred).
Ability to apply systems thinking to identify and solve underlying problems (preferred).
Ability to craft and convey clear, impactful messages (preferred).
Python
Java
TensorFlow
Machine Learning
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Cloud Security
Data Engineering
Data Pipelines
Cybersecurity
Scripting
Python
C++
Java
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Machine Learning
Data Engineering
Data Modeling
Data Wrangling
AI Implementation
Open-source Software
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
AI Security
LLM
RAG
MLOps
Agentic Frameworks
Azure OpenAI
Anthropic Claude
OWASP LLM Top 10
Prompt Injection
Model Risk Management
NIST AI RMF
EU AI Act
AppSec
SecOps
IAM
GRC
Offensive Security
Claude Code
Cursor
GitHub Copilot
Codex
Data Loss Prevention
MCP Gateways
Identity and Access Management
Cloud Security
Application Security
Platform Security
Security Systems Engineering
Zero Trust
NIST CSF
NIST 800-53
ISO 27001
SOC 2
SaaS
Automation
System Integration
Coding
Data Governance
AI
CISSP
CCSP
GIAC