Leads client-facing data validation and risk workstreams, developing reliable data pipelines, integrations, transformations, and validation controls. Manages project plans, budgets, timelines, deliverables, and team performance while analyzing data structures and system interactions to identify risks. Coaches team members, collaborates with stakeholders, improves database and query performance, promotes automation and AI-enabled tools, and ensures technical standards, documentation, and independence requirements are maintained.
The Opportunity
As a Data Validation Risk Manager you will lead client support work focused on data engineering, data validation, and risk-aware delivery across data pipelines, integration points, and transformation activities within our Advisory practice. As a Manager you will coach team members, direct workstreams, manage performance, and use sound judgment to review deliverables, address issues, and keep work moving in line with client needs and Firm values. In this role at PwC, you will help convert raw data into usable information, apply technology and innovation to improve delivery, and take ownership of planning, execution, and completion across assigned projects.
Responsibilities
- Leading data validation and risk workstreams across client engagements, translating business needs into practical data engineering solutions
- Managing project plans, timelines, budgets, and deliverables while directing team efforts across multiple workstreams
- Developing and reviewing data pipelines, integration flows, transformation logic, and validation controls to support reliable data processing
- Applying knowledge of data architecture, modeling, quality, and security to identify issues and strengthen data solutions
- Analyzing complex data structures and system interactions to trace risks, gaps, and downstream impacts
- Coaching team members through feedback, review, and day-to-day guidance to support development and performance
- Collaborating with client leaders and internal stakeholders to align priorities, clarify requirements, and address delivery challenges
- Leveraging data engineering platforms, database optimization, and query tuning techniques to improve solution performance
- Promoting innovation through the use of automation, AI-enabled tools, and scalable engineering methods
- Upholding technical standards, documentation discipline, and independence requirements throughout delivery
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating data validation, quality control, and risk analysis experience
- Managing client-facing workstreams within data engineering or analytics environments
- Leading teams through planning, budgeting, execution, and delivery
- Applying data integration, modeling, and pipeline knowledge to business issues
- Mentoring junior team members through feedback and coaching sessions
- Communicating findings clearly across technical and business audiences
The salary range for this position is: $99,000 - $232,000. 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 Manager you will lead client support work focused on data engineering, data validation, and risk-aware delivery across data pipelines, integration points, and transformation activities within our Advisory practice. As a Manager you will coach team members, direct workstreams, manage performance, and use sound judgment to review deliverables, address issues, and keep work moving in line with client needs and Firm values. In this role at PwC, you will help convert raw data into usable information, apply technology and innovation to improve delivery, and take ownership of planning, execution, and completion across assigned projects.
Responsibilities
- Leading data validation and risk workstreams across client engagements, translating business needs into practical data engineering solutions
- Managing project plans, timelines, budgets, and deliverables while directing team efforts across multiple workstreams
- Developing and reviewing data pipelines, integration flows, transformation logic, and validation controls to support reliable data processing
- Applying knowledge of data architecture, modeling, quality, and security to identify issues and strengthen data solutions
- Analyzing complex data structures and system interactions to trace risks, gaps, and downstream impacts
- Coaching team members through feedback, review, and day-to-day guidance to support development and performance
- Collaborating with client leaders and internal stakeholders to align priorities, clarify requirements, and address delivery challenges
- Leveraging data engineering platforms, database optimization, and query tuning techniques to improve solution performance
- Promoting innovation through the use of automation, AI-enabled tools, and scalable engineering methods
- Upholding technical standards, documentation discipline, and independence requirements throughout delivery
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Demonstrating data validation, quality control, and risk analysis experience
- Managing client-facing workstreams within data engineering or analytics environments
- Leading teams through planning, budgeting, execution, and delivery
- Applying data integration, modeling, and pipeline knowledge to business issues
- Mentoring junior team members through feedback and coaching sessions
- Communicating findings clearly across technical and business audiences
The salary range for this position is: $99,000 - $232,000. 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 Chicago, Illinois, USA Office
One North Wacker Drive, Chicago, IL, United States, 60606
PwC Chicago, Illinois, USA Office
330 North Wabash Avenue, Suite 3950, Chicago, IL, United States, 60611
PwC Rosemont, Illinois, USA Office
9399 West Higgins Road Suite 900, Rosemont, IL, United States, 60018
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports Medicare Part C regulatory risk and compliance engagements for healthcare clients. Analyzes requirements, evaluates controls, identifies risks and compliance gaps, develops remediation deliverables, tracks issues and monitoring activities, coordinates client discussions, and interprets regulatory updates. The role also reviews junior staff work, provides coaching, supports governance and records management, and contributes to client relationships across payer and provider environments.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads IT audit and SOX/internal controls engagements across industries, including planning, budgeting, execution, compliance assessment, risk mitigation, and reporting. Manages client accounts and teams, supports internal audit transformation and co-sourcing models, applies AI and data analysis to improve audit processes, and coaches junior staff. The role also requires stakeholder management, conflict resolution, strategic planning, and adherence to professional, technical, independence, and conduct standards.
Top Skills:
AIData Visualization
4 Hours Ago
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Provides strategy consulting for pharma and life sciences clients, focusing on customer analytics and experience. Responsibilities include analyzing client needs, designing customer journey maps, managing segmentation and satisfaction surveys, interpreting customer data, developing value propositions, identifying improvement opportunities, and guiding teams in implementing customer experience strategies. The role also involves client relationship development, business process improvement, trend analysis, and delivering strategic recommendations that improve customer satisfaction, engagement, loyalty, and business growth.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
