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Data Quality Lead Jobs (NOW HIRING)

Vergence

Data Quality Lead

Carmel, IN · On-site

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

Globe Telecom, Inc.

Data Quality Lead Expert

Globe, AZ · On-site

The Data Quality Lead Expert is the senior technical authority responsible for the design, engineering, and continuous improvement of the technical implementation of the Data Quality Framework. As a ...

Citigroup, Inc.

Data Quality Lead Analyst

Getzville, NY · On-site

$125K - $131K/yr

A. seeks a Data Quality Lead Analyst for its Getzville, New York location. Duties: Issue identification, escalation, and remediation for Credit Valuation Adjustment (CVA) risk data. Perform data ...

Citigroup, Inc.

Data Quality Lead Analyst

Wilmington, DE · On-site

$140K - $145K/yr

A. seeks a Data Quality Lead Analyst for its Wilmington, DE location. DUTIES: Support activities to drive Data Quality measurement, produce Data Quality dashboards and reports, and implement Data ...

TriOptus LLC

Data Quality Lead Analyst

New Castle, DE · On-site

• Job Profile Data Quality Lead Analyst - C13 • The Information Services Group (ISG) within Client's Institutional Clients Group O&T (ICG O&T) organization is looking for a resource to join its ...

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Data Quality Lead information

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$13

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How much do data quality lead jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data quality lead in the United States is $28.64, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $34.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Quality Lead, and why are they important?

To thrive as a Data Quality Lead, you need expertise in data management, data governance, and analytics, usually backed by a bachelor’s or master’s degree in a related field. Familiarity with data quality tools (such as Informatica or Talend), SQL, and knowledge of data standards or compliance frameworks are typically required. Strong problem-solving skills, attention to detail, and effective communication help foster collaboration and drive quality initiatives across teams. These skills are critical for ensuring accurate, reliable data that supports business decision-making and regulatory compliance.

What is the difference between Data Quality Lead vs Data Analyst?

AspectData Quality LeadData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications in data management or quality (e.g., CDMP)Bachelor's in Statistics, Data Science, or related field; often similar certifications
Work EnvironmentFocus on data governance, quality assurance, and process improvement within data teamsAnalyze data sets, generate reports, and support decision-making across departments
Employer & Industry UsageUsed in organizations emphasizing data integrity and compliance, especially in finance, healthcare, and techCommon across various industries for data-driven roles, including marketing, finance, and tech

The Data Quality Lead primarily oversees data accuracy, governance, and quality assurance processes, ensuring data integrity across systems. In contrast, the Data Analyst focuses on analyzing data, creating reports, and supporting business insights. While both roles require strong data skills and similar certifications, their core responsibilities and focus areas differ significantly.

What does a Data Quality Lead do?

A Data Quality Lead is responsible for ensuring that an organization's data is accurate, consistent, complete, and reliable. They develop and implement data quality standards, monitor data integrity, and collaborate with different teams to resolve data issues. Their role often involves analyzing data flows, defining data quality metrics, and leading initiatives to improve data management practices. By maintaining high data quality, they help support better business decisions and compliance with regulations.

What are the main challenges a Data Quality Lead faces when implementing data governance across multiple departments?

A Data Quality Lead often encounters challenges such as aligning data standards among diverse teams, addressing inconsistent data definitions, and securing buy-in from stakeholders with varying priorities. Successfully implementing data governance requires strong communication skills to bridge gaps between IT and business units, as well as the ability to create clear policies and training programs. Additionally, the role frequently involves troubleshooting data integration issues and ensuring ongoing compliance with data quality metrics across all departments.
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What states have the most Data Quality Lead jobs? States with the most job openings for Data Quality Lead jobs include:
What job categories do people searching Data Quality Lead jobs look for? The top searched job categories for Data Quality Lead jobs are:
Data Quality Lead jobs near you
Infographic showing various Data Quality Lead job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,575 per year, or $28.6 per hour.

Data Quality Lead

Vergence

Carmel, IN • On-site

Full-time

Re-posted 2 days ago

Job description

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable, auditable, and proactively managed across all EDW pipelines and layers. This role partners closely with Data Owners/Stewards, EDW Engineering, Governance, and Program Management to operationalize data quality standards, rules, metrics, monitoring, and remediation processes.
The Data Quality Lead owns day-to-day DQ execution oversight, issue triage, reporting, and continuous improvement, while ensuring alignment with business outcomes, regulatory reporting needs, and audit expectations.
Key Responsibilities
• Execute the EDW data quality (DQ) controls framework across pipelines and layers.
• Implement and maintain standardized DQ rules, metadata, thresholds, and severity.
• Validate business rules and critical data elements (CDEs) with Data Owners/Stewards.
• Manage DQ rule lifecycle and change control (create, update, approve, retire).
• Maintain DQ monitoring, alerting, and exception management.
• Triage DQ failures, assess impact, and coordinate remediation with engineering and business teams.
• Maintain failure evidence (records, metrics, audit trails) for traceability and compliance.
• Deliver DQ dashboards, scorecards, and operational reporting to stakeholders.
• Define and track DQ metrics aligned to SLAs, success criteria, and governance needs.
• Serve as the day-to-day DQ liaison and drive continuous improvement across teams.
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About Vergence

Sourced by ZipRecruiter

Vergence is an SBA-certified 8(a) consulting firm based out of Indianapolis. Our focus areas are business consulting, technology services, and healthcare management. We work with a wide range of government and commercial entities.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Indianapolis, IN, US

Year founded

2011

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