Data Validation Risk - Director

PwC; Florham Park (NJ); On-site; USD 155,000 - 410,000; Full time

Job summary

PwC in New Jersey offers an opportunity for a Data Validation Risk Director to lead data analysis, validation, and modeling across client engagements. You will shape strategic direction, mentor teams, and maintain executive client relations to translate insights into actions while upholding PwC’s standards.

The role emphasizes applying SQL-based tools, statistical methods, and AI analytics to improve delivery and drive risk-informed decisions for complex data environments.

Qualifications

• Bachelor’s degree in a related field.
• 9+ years of experience in data validation, analytics or risk.

Responsibilities

• Lead data validation initiatives across client engagements and shape strategic direction.
• Drive growth by applying data quality, integrity, and risk analysis to client needs.
• Oversee complex data validation including collection, preprocessing, modeling, and analysis.
• Translate findings into clear recommendations supporting business decisions and controls.
• Develop data quality improvement plans for large-scale data environments.
• Manage executive-level client relationships and align with risk objectives.
• Mentor leaders and build analytics capability across teams.
• Apply tools like SQL-based data tools, statistical software, and AI analytics.
• Promote innovation in data analysis and cross-network collaboration.
• Ensure adherence to professional standards and independence requirements.

Skills

Data analysis

Data visualization

Statistical modeling

Mentoring

Executive communication

Education

Bachelor's degree

Tools

Databricks

MS SQL

Power BI

AWS

Azure

GCP

Python

SAS

Job description

The Opportunity

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 our Risk & Regulatory practice. As a Director you will set strategic direction, lead business development efforts, oversee multiple projects, and use executive-level client relations to translate vision into action while mentoring others and helping maintain PwC’s reputation for quality, integrity, and inclusion. In this role at PwC, you will guide teams in developing data-driven solutions, identify opportunities to improve processes, and collaborate across the PwC Network to deliver work that supports client objectives and broader firm goals.

Responsibilities

• Leading data validation risk initiatives across client engagements and shaping strategic direction for data analysis workstreams
• Driving business growth by identifying opportunities to apply data quality, data integrity, and risk analysis capabilities to client needs
• Overseeing complex data validation efforts, including data collection, preprocessing, modeling, and statistical analysis
• Translating analytical findings into clear recommendations that support business decisions and address control gaps
• Developing and refining data quality improvement plans and validation methods for large-scale data environments
• Managing executive-level client relationships and aligning delivery approaches with risk and regulatory objectives
• Mentoring emerging leaders and building team capability in analytical thinking, data governance, and report preparation
• Applying advanced tools and methods such as SQL-based data tools, statistical analysis software, and AI-enabled analytics to improve delivery
• Promoting innovation in data analysis processes and advancing practical uses of analytics across the broader network
• Validating adherence to professional standards, independence requirements, and the firm’s code of conduct

What You Must Have

• At least a Bachelor's degree
• At least 9 years of experience

What Sets You Apart

• Preference for Accounting, Engineering, Data Processing, Computer Science, Economics, or Finance
• Certification in Databricks, MS SQL, Power BI, AWS, Azure, GCP, Python, or SAS
• Demonstrating data validation leadership across complex client engagements
• Driving strategic decision making through data quality insights
• Developing data models, controls, and validation routines for risk programs
• Translating technical findings into executive-ready recommendations

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.