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Data Quality Management Jobs (NOW HIRING)

Vergence

Data Quality Lead

Carmel, IN · On-site

This role partners closely with Data Owners/Stewards, EDW Engineering, Governance, and Program Management to operationalize data quality standards, rules, metrics, monitoring, and remediation ...

Innova Solutions, Inc

Data Quality Contractor

Raleigh, NC · On-site

$55 - $60/hr

Master Data Management - Intermediate (3-5 years experience) Description: * Conduct data profiling and quality assessments across source systems to identify gaps, duplicates, and inconsistencies in ...

Scotiabank

Manager, Data Quality Engineering

Dallas, TX · On-site

You will partner with the Head and VP of Data Management Engineering to drive execution and adoption of enterprise data quality capabilities, including profiling, rule management, anomaly detection ...

ICF

Data and Quality Manager- REMOTE

Reston, VA · Remote

Support implementation of the project's Quality Management Plan, data governance policies, and performance reporting framework. * Manage data validation, quality assurance, quality control, audit ...

Scotiabank

Manager, Data Quality Engineering

Dallas, TX · On-site

You will partner with the Head and VP of Data Management Engineering to drive execution and adoption of enterprise data quality capabilities, including profiling, rule management, anomaly detection ...

ICCU

Data Quality Analyst

Chubbuck, ID · On-site

Manage data quality projects from inception to delivery, including defining scope, deliverables, requirements and/or functional specification documentation, schedules, resources, budget, and success ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH

$103K - $124K/yr

... CRM, analytics platforms, and customer-facing applications, while reducing operational ... Monitor data quality across core ISO-8000 data quality standards (i.e. completeness, accuracy ...

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Data Quality Management information

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How much do data quality management jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data quality management in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data quality management?

To thrive in Data Quality Management, you need expertise in data governance, data analysis, and a strong understanding of data management frameworks, typically supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or IBM InfoSphere), data profiling software, and relevant certifications like CDMP are common requirements. Attention to detail, problem-solving skills, and effective communication are vital soft skills for collaborating across departments and ensuring data integrity. These skills are essential to maintain accurate, reliable data that drives sound business decisions and operational efficiency.

What are some common challenges faced by professionals in data quality management, and how can they be addressed?

Professionals in Data Quality Management often encounter challenges such as inconsistent data sources, lack of standardized processes, and resistance to data governance initiatives. Addressing these issues typically involves implementing robust data validation procedures, fostering a culture that values data integrity, and collaborating closely with IT and business teams to align data standards. Proactive communication and ongoing training are also crucial to ensure stakeholders understand the impact of high-quality data on business outcomes.

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

AspectData Quality ManagementData Analyst
Primary FocusEnsuring data accuracy, consistency, and reliabilityAnalyzing data to identify trends and generate insights
Skills & CertificationsData governance, quality tools, SQL, certifications like CDMPData analysis, visualization, SQL, statistical skills
Work EnvironmentData governance teams, IT departments, data warehousesBusiness units, analytics teams, reporting platforms

While Data Quality Management focuses on maintaining high-quality data standards, Data Analysts utilize that data to perform analysis and support decision-making. Both roles are essential in data-driven organizations but serve different purposes within the data lifecycle.

Is data quality management a good career?

Data quality management is a valuable career path focused on ensuring the accuracy, consistency, and reliability of data within organizations. It often involves skills in data analysis, governance, and tools like SQL and data quality software, with opportunities for certification and advancement. The role is in demand across industries that rely on data-driven decision-making.

What do data quality management do?

Data quality management involves ensuring that organizational data is accurate, complete, consistent, and reliable. Professionals in this field develop and implement processes, standards, and tools to monitor and improve data quality, often using data profiling and validation techniques to support decision-making and compliance.
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Data Quality Management jobs near you
Infographic showing various Data Quality Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Data Quality Analyst

Charlotte, NC • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$110K - $135K/yr

Full-time

Re-posted 12 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

177th of 227 rated it services

Job description

Must Have Technical/Functional Skills
Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains.
• Implement and administer DQLabs Data Quality platform and related data observability capabilities.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Develop metadata-driven Data Quality frameworks and scorecards.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Analyze data quality issues and drive remediation with business and application teams.
• Establish Data Quality SLAs, thresholds, ownership, and governance processes.
• Integrate DQ monitoring with Data Governance and Metadata Management platforms.
• Support audit, compliance, regulatory, and reporting requirements.
• Create quality trend reports, root cause analyses, and continuous improvement plans.
• Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.
Roles & Responsibilities
• Implement and administer DQLabs Data Quality platform and related data observability capabilities.
• Profile source systems and identify Critical Data Elements (CDEs).
• Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
• Develop metadata-driven Data Quality frameworks and scorecards.
• Build DQ dashboards and executive reporting for business and technology stakeholders.
• Analyze data quality issues and drive remediation with business and application teams.
• Establish Data Quality SLAs, thresholds, ownership, and governance processes.
• Integrate DQ monitoring with Data Governance and Metadata Management platforms.
• Support audit, compliance, regulatory, and reporting requirements.
• Create quality trend reports, root cause analyses, and continuous improvement plans.
• Collaborate with Data Stewards, Data Own ers, Architects, and Analysts to improve enterprise data quality.
Data Quality & Governance
• 7+ years of Data Quality, Data Governance, or Data Management experience.
• Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship.
• Experience implementing enterprise Data Quality programs.
• Knowledge of Data Quality dimensions and measurement frameworks.
DQLabs / DQ Tools
• Hands-on experience in DQLabs is a must with Insurance Brokerage experience
Salary Range: $110,000 to $135,000 per year

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