Leads data validation risk initiatives, strategic analytics direction, business development, and complex data quality programs across client engagements. Oversees data collection, preprocessing, modeling, statistical analysis, validation routines, and control-gap assessments. Translates findings into executive recommendations, manages senior client relationships, mentors analytical teams, and advances data governance and AI-enabled analytics while ensuring professional and independence standards.
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 an equal 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.
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 an equal 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.
PwC New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads SAP consulting projects that improve client operational efficiency through business analysis, software implementation, enterprise integration, training, and support. Manages project architecture, budgets, timelines, quality, and client relationships while mentoring teams and resolving stakeholder issues. Promotes emerging technologies, digital tooling, and AI-human collaboration to deliver strategic technology solutions and maintain professional standards.
Top Skills:
Sap Best PracticesSap BtpSap Erp
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports clients with tax reporting strategies, compliance, process transformation, and financial data analysis. Responsibilities include interpreting tax laws and accounting guidance, preparing documentation, tracking workstreams, reconciling data, developing recommendations, collaborating with client teams, and mentoring junior staff.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads transfer pricing engagements for multinational clients, advising on intercompany pricing, documentation, benchmarking, compliance, and cross-border tax matters. Manages project timelines, budgets, deliverables, and client relationships while reviewing technical work, guiding economic analyses, coaching junior staff, and identifying planning and technology opportunities.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

