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Data Quality Manager Jobs (NOW HIRING)

Intraedge

Data Quality Manager

Charlotte, NC · On-site

Drive enterprise adoption of Data Quality capabilities through training, coaching, communication, and change management initiatives. * Develop and deliver presentations for Data Stewards, Data Owners ...

Procom Services

Data Quality Analyst

Dallas, TX · On-site

Application Development Project Management Quality Assurance Business/Systems Analysis ... Data Quality Analyst Job Details Responsibility : Define, Design, and Build Data quality management ...

Kahala Management LLC

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

Data Quality Management * Define, implement, and maintain enterprise data quality rules and controls. * Monitor data quality metrics including completeness, accuracy, consistency, timeliness ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN · On-site

Data Quality Management o Define, implement, and maintain enterprise data quality rules and controls. o Monitor data quality metrics including completeness, accuracy, consistency, timeliness ...

Purple Hires Inc

Data Quality Analysts

Boston, MA · On-site

Data Quality Analysts Location: Boston, MA - Onsite Duration: Contract Overview We are seeking a ... Work on Trade Life Cycle and Management modules, including Front, Middle, and Back-office ...

CGI Inc.

Data Quality Analyst

Raleigh, NC · On-site

Collaborate with project managers and technical teams. . Support production readiness and migration activities. Required qualifications to be successful in this role: At least 5+ years in Data ...

Harbor

Data Quality Professional

$15/hr

Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you'll play a key role in helping our clients maintain ...

Neos Consulting

MDM Data Quality Analyst

Austin, TX · On-site

Stay current with best practices and trends in data quality management. Worker Skills and Qualifications: Minimum Qualifications: * 7+ years of data quality analysis experience, preferably in an MDM ...

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Data Quality Manager information

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How much do data quality manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data quality manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a data quality manager do?

A Data Quality Manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop and implement data quality standards, monitor data integrity, and work closely with data analysts, IT teams, and business units to resolve data issues. Their goal is to ensure that data used for business decisions is trustworthy and meets regulatory and organizational requirements. This role often involves leading data governance initiatives and managing data quality improvement projects.

What are the key skills and qualifications needed to thrive as a data quality manager?

To thrive as a Data Quality Manager, you need a strong background in data management, data governance, and analytical skills, usually supported by a degree in information systems or a related field. Familiarity with data quality tools (such as Informatica, Talend, or SQL), data profiling techniques, and relevant certifications like CDMP are typically expected. Excellent communication, problem-solving abilities, and leadership skills help in collaborating with cross-functional teams and driving data quality initiatives. These skills ensure accurate, reliable data which is critical for informed business decision-making and regulatory compliance.

What are the most common challenges a data quality manager faces when implementing data governance initiatives?

Data Quality Managers often encounter challenges such as gaining cross-departmental buy-in, standardizing data definitions, and addressing inconsistent data entry practices. Successfully implementing data governance requires close collaboration with IT, business analysts, and leadership to align on data standards and processes. Additionally, managing change and ensuring ongoing user training are critical, as stakeholders may be resistant to new data policies or tools. Addressing these challenges proactively helps to build a culture of data ownership and accountability across the organization.

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

AspectData Quality ManagerData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity across systemsAnalyzing data to identify trends, patterns, and insights
Required SkillsData governance, quality control, database managementStatistical analysis, data visualization, reporting tools
CertificationsData Management certifications (CDMP, DAMA), SQLData analysis certifications (CAP, Microsoft Certified Data Analyst)
Work EnvironmentData governance teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments

While both roles work with data, the Data Quality Manager focuses on maintaining data standards and quality assurance, whereas the Data Analyst interprets data to support business decisions. They often collaborate but serve different functions within organizations.

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Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Quality Manager

Intraedge

Charlotte, NC • On-site

Other

Posted 7 days ago

Job description

Job Summary

We are seeking an experienced Data Quality Product Owner / Data Quality Expert to lead the enterprise Data Quality capability as part of our Data Governance organization. This role will work closely with the Enterprise Data Governance Leader, Tooling team, Data Strategy team, Data Stewards, Business Owners, and Technology teams to establish, operationalize, and continuously improve enterprise-wide data quality practices.

The ideal candidate will have deep expertise in Data Quality frameworks, rule definition, stewardship enablement, and enterprise data quality adoption, along with hands-on experience configuring data quality rules and driving product enhancements. Experience with Alation Data Quality is highly preferred.

 

Key Responsibilities

  • Lead the enterprise Data Quality product roadmap and execution in partnership with Data Governance and Data Strategy leadership.
  • Define enterprise Data Quality standards, policies, scorecards, best practices, KPIs, and monitoring processes.
  • Drive enterprise adoption of Data Quality capabilities through training, coaching, communication, and change management initiatives.
  • Develop and deliver presentations for Data Stewards, Data Owners, and business users on Data Quality best practices and governance processes.
  • Partner with Technology, Engineering, and Platform teams to prioritize, configure, test, and implement Data Quality requirements into technical capabilities, features, enhancements, and integrations within the product backlog.
  • Monitor Data Quality metrics, trends, and issue resolution, providing actionable insights to leadership.
  • Facilitate governance forums to review Data Quality performance, exceptions, and continuous improvement opportunities.
  • Collaborate with enterprise architecture and data platform teams to embed Data Quality controls into data pipelines and operational processes.
  • Establish repeatable processes for Data Quality issue management, root cause analysis, and remediation tracking.
  • Stay current with industry best practices and recommend improvements to enterprise Data Quality capabilities.

 

Required Qualifications

  • Bachelor’s degree in computer science, Information Systems, Data Management, or related field.
  • 10+ years of experience in Data Management, Data Governance, Data Quality, or Data Strategy.
  • Strong communications skillset and confidence interacting with stakeholders as a Data Quality Subject Matter Expert
  • Strong expertise in designing and implementing enterprise Data Quality frameworks.
  • Implementation of key Data Quality dimensions including Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness
  • Hands-on experience creating and configuring Data Quality rules and validations.
  • Experience working with Data Governance operating models, Data Stewards, Data Owners, and Governance Councils.
  • Proven experience driving enterprise adoption, stakeholder engagement, training, and organizational change management.
  • Strong understanding of metadata management, business glossary, data lineage, and Critical Data Elements (CDEs).
  • Experience working in Agile environments as a Product Owner or Product Manager.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Strong analytical and problem-solving capabilities.

 

Preferred Qualifications

  • Hands-on experience with Alation Data Quality and the broader Alation platform.
  • Experience with enterprise Data Governance tools such as Collibra, Ataccama, Informatica IDMC, Microsoft Purview
  • Experience working with cloud data platforms such as Snowflake, AWS, or Google Cloud.
  • Familiarity with SQL and data profiling techniques.
  • Experience in highly regulated industries such as Financial Services, Banking, Healthcare, or Insurance.

 What Success Looks Like

  • Subject Matter Expert as the product owner for Data Quality, from strategy, requirements, procedures, and best practices to technical implementation, tooling capabilities, and agentic execution
  • Enterprise-wide adoption of Data Quality practices and governance processes.
  • Enterprise Data Governance Strategy incorporates data quality best practices concurrent with enterprise maturity
  • Increased engagement and effectiveness of Data Quality Rules created by Data Stewards and Data Owners.
  • Successful implementation of prioritized Data Quality product enhancements.
  • Well-defined, measurable, and sustainable Data Quality operating model.
  • Strong collaboration between Business, Data Governance, and Technology teams.
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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