Data Validation Risk - Director

PricewaterhouseCoopers•Atlanta, NY

8d•$155,000 - $410,000

About The Position

As a Data Validation Risk Director, you will lead data analysis efforts that support client needs through advanced data manipulation, validation, visualization, and statistical modeling, while helping shape how insights are applied to business decisions within PwC’s Risk & Regulatory practice. You will set strategic direction, lead business development efforts, oversee multiple projects, and use executive-level client relationships to translate vision into action. You will also mentor others and help maintain PwC’s reputation for quality, integrity, and inclusion. You will guide teams in developing data-driven solutions, identify opportunities to improve processes, and collaborate across the PwC Network to deliver work supporting client objectives and broader firm goals. The role requires at least a bachelor’s degree and at least nine years of experience. Travel requirements are up to 60%. The salary range is $155,000–$410,000, with actual compensation depending on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC offers benefits including medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave.

Requirements

At least a bachelor’s degree.
At least 9 years of experience.

Nice To Haves

Preference for a degree in Accounting, Engineering, Data Processing, Computer Science, Economics, or Finance.
Certification in Databricks, MS SQL, Power BI, AWS, Azure, GCP, Python, or SAS.
Demonstrated data validation leadership across complex client engagements.
Ability to drive strategic decision making through data quality insights.
Experience developing data models, controls, and validation routines for risk programs.
Ability to translate technical findings into executive-ready recommendations.

Responsibilities

Lead data validation risk initiatives across client engagements and shape strategic direction for data analysis workstreams.
Drive business growth by identifying opportunities to apply data quality, data integrity, and risk analysis capabilities to client needs.
Oversee complex data validation efforts, including data collection, preprocessing, modeling, and statistical analysis.
Translate analytical findings into clear recommendations that support business decisions and address control gaps.
Develop and refine data quality improvement plans and validation methods for large-scale data environments.
Manage executive-level client relationships and align delivery approaches with risk and regulatory objectives.
Mentor emerging leaders and build team capability in analytical thinking, data governance, and report preparation.
Apply advanced tools and methods, including SQL-based data tools, statistical analysis software, and AI-enabled analytics, to improve delivery.
Promote innovation in data analysis processes and advance practical uses of analytics across the broader network.
Validate adherence to professional standards, independence requirements, and the firm’s code of conduct.