below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$165,500–$225,312
— the blue band above.
At the midpoint, this role pays about
$166k
versus about
$195k
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
102 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 99 roles with salary data.
The Data Validation Risk - Manager joins the Advisory practice to lead client support work focused on data engineering, data validation, and risk-aware delivery. This role involves coaching team members, directing workstreams, and managing performance while overseeing project plans, budgets, and timelines. You will build and review data pipelines, integration flows, transformation logic, and validation controls to ensure reliable data processing. Key responsibilities include analyzing complex data structures to trace risks and gaps, applying knowledge of data architecture, modeling, quality, and security to strengthen solutions, and leveraging database optimization and query tuning techniques. You will utilize automation and AI-enabled tools to improve solution performance. The work involves converting raw data into usable information by addressing technical business issues and ensuring documentation discipline across various client engagements.
Lead data validation and risk workstreams by translating business needs into practical data engineering solutions.
Manage project plans, timelines, budgets, and deliverables while directing team efforts across multiple workstreams.
Develop and review data pipelines, integration flows, transformation logic, and validation controls.
Analyze complex data structures and system interactions to identify risks, gaps, and downstream impacts.
Coach team members through regular feedback, performance reviews, and day-to-day guidance.
Leverage data engineering platforms, database optimization, and query tuning to improve solution performance.
Promote innovation by implementing automation, AI-enabled tools, and scalable engineering methods.
Uphold technical standards, documentation discipline, and independence requirements throughout the delivery process.
What we're looking for
At least a Bachelor's degree.
At least 5 years of experience.
Preference for a degree in Analytics, Data Science, Business, Computer Science, Economics, Engineering, Finance, Mathematics, or Statistics (preferred).
Experience in data validation, quality control, and risk analysis (preferred).
Experience managing client-facing workstreams in data engineering or analytics environments (preferred).
Experience leading teams through planning, budgeting, execution, and delivery (preferred).
Knowledge of data integration, modeling, and pipelines applied to business issues (preferred).
Experience mentoring junior team members through feedback and coaching (preferred).
Risk Modeling
Actuarial Science
Statistical Analysis
Model Validation
Data Analysis
Financial Modeling
Property and Casualty Risk
Capital Analysis
Reserving
Pricing
Digital Tooling
Integrated Data Review
Risk-Based Data Management
RBDM
RBQM
GxP
21 CFR Part 11
ICH E6
ICH E8
Data Validation
Analytics
AI
KPIs
SOPs
Clinical Data Management
Machine Learning
Python
Scala
R
AWS
Relational Databases
Gradient Boosting
Deep Learning
Time Series
Clustering
Classification
Sentiment Analysis
Statistical Modeling
econometric, s
Big Data
ROC Curve
Confusion Matrix
Data Strategy
Data Governance
Data Analysis
AI
User Stories
Acceptance Criteria
Business Epics
Data Products
Information Systems
Statistics
Operations Research
Analytics