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Data Validation Risk - Manager

PwC

Florham Park, NJJob$99–232K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$99–232K/yr
Location
Florham Park, NJ
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Data Validation Risk Manager leads client support work across data engineering, data validation, and risk-aware delivery. The role directs workstreams, manages project execution, reviews deliverables, and coaches team members. It also applies data architecture, modeling, quality, and security knowledge to improve data solutions and uses technology and innovation to support reliable, scalable delivery.

Skills & qualifications

RequiredNice to have

Skills

Data ValidationQuality ControlRisk AnalysisClient Workstream ManagementData EngineeringAnalyticsTeam LeadershipPlanning and BudgetingData IntegrationData ModelingData PipelinesMentoringCommunication

Qualifications

5+ Years ExperienceAnalytics or Data ScienceBusiness Administration or ManagementComputer Science or Information SystemsEconomicsEngineeringFinanceMathematics or StatisticsOperations or Supply ChainBachelor's Degree

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

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.

How this job compares

Set against the 2,654 open Data Engineering jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$99–232K/yr
  • New Jersey median$126–214K/yr76 salary ranges
  • US median$124–214K/yr2,141 salary ranges

This range's midpoint, $166K, is 7% below the New Jersey median midpoint ($178K) — in the middle half of Data Engineering salary ranges in New Jersey.

Openings
Olive Jobs lists 82 open Data Engineering jobs in New Jersey and 2,654 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New Jersey
Experience
This posting asks for at least 5 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,311 postings).
Education
This posting asks for a bachelor's degree; 1,081 of the 2,654 open Data Engineering jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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