Data Validation & Risk Manager — ERP Analytics Lead

PwC; Washington (District of Columbia); On-site; USD 99,000 - 232,000; Full time

Job summary

PwC in Washington, DC is seeking a Data Validation Risk Manager to design and execute strategies for business data validation during ERP implementations. You will lead teams, manage client accounts, and mentor junior staff while delivering data-driven solutions.

Using advanced analytics, you will build data pipelines, create dashboards with Power BI and Tableau, and apply predictive modeling to improve client operations.

Qualifications

• Bachelor's degree required; 4+ years in public accounting or professional services.
• Experience with data validation in ERP implementations is preferred.
• Strong skills in Excel, SQL, Python, and data visualization tools.
• CPA or CISA preferred.

Responsibilities

• Lead data validation and risk management initiatives for clients.
• Apply advanced analytics to extract insights from complex datasets.
• Develop data quality improvement plans to enhance data integrity.
• Mentor teams and manage client engagement expectations.
• Design and deploy data visualization dashboards using Power BI or Tableau.
• Build and optimize data pipelines and integration processes.
• Apply statistical modeling and predictive analytics to client problems.
• Identify opportunities to improve delivery and foster innovation.

Skills

Data validation

Leadership

Mentoring

ERP implementations

Data analytics

Problem solving

Education

Bachelor's degree

CPA certification

CISA certification

Tools

Excel

Alteryx

SQL

Python

Databricks

Snowflake

Power BI

Tableau

Job description

PwC in Washington, DC is seeking a Data Validation Risk Manager to design and execute strategies for business data validation during ERP implementations. You will lead teams, manage client accounts, and mentor junior staff while delivering data-driven solutions.

Using advanced analytics, you will build data pipelines, create dashboards with Power BI and Tableau, and apply predictive modeling to improve client operations.