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Data Quality Manager Jobs (NOW HIRING)

Globe Telecom, Inc.

Data Quality Manager

Globe, AZ · On-site

The Data Quality Manager is key in proactively ensuring that data quality is maintained across the enterprise, and as a result enables the Analytics Team to deliver relevant and accurate models and ...

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

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

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 ...

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 ...

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 ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

The Data Quality Engineer owns the implementation and continuous improvement of data quality across ... CRM, analytics platforms, and customer-facing applications, while reducing operational ...

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 ...

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Data Quality Manager information

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$31K

$97.1K

$172K

How much do data quality manager jobs pay per year?

As of Aug 1, 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 are the key skills and qualifications needed to thrive as a Data Quality Manager, and why are they important?

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 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 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.

More about Data Quality Manager jobs
What cities are hiring for Data Quality Manager jobs? Cities with the most Data Quality Manager job openings:
What are the most commonly searched types of Data Quality jobs? The most popular types of Data Quality jobs are:
What states have the most Data Quality Manager jobs? States with the most job openings for Data Quality Manager jobs include:
What job categories do people searching Data Quality Manager jobs look for? The top searched job categories for Data Quality Manager jobs are:
Data Quality Manager jobs near you
Infographic showing various Data Quality Manager 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 $97,145 per year, or $46.7 per hour.

Data Quality Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 14 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Quality Manager is key in proactively ensuring that data quality is maintained across the enterprise, and as a result enables the Analytics Team to deliver relevant and accurate models and insights. This role acts as the bridge between governance policy and technical implementation, ensuring that critical data quality issues are detected, reported, and resolved before they impact business KPIs.

DUTIES AND RESPONSIBILITIES:

  • Establish data quality objectives aligned with Data Governance Policies

  • Devises and executes proper data collection procedures, policies, guidelines including data cleaning, standardization, and analysis

  • Define, Track and Manage Data Quality KPIs across the enterprise

  • Implement controls and compliance metrics to reduce data issues and improve data quality

  • Maintain and operationalize data quality dashboards: Oversee the overall presentation of the Data Quality Index, ensuring stakeholders have a real-time view of data health.

  • Enhance and operationalize data quality checks: Lead the technical implementation of DQ checks, ensuring they are robust, scalable, and integrated into the data pipeline.

  • Apply best practices for data engineering: Utilize engineering standards (CI/CD, version control) when implementing DQ checks and introduce advanced methods such as automated anomaly detection.

  • Collaborates with reporting, analytics, and operational segments to ensure data quality standards are met, errors and root causes identified

  • Identify, prioritize and lead Enterprise-wide data cleansing initiatives to deliver substantial improvements in data quality across the enterprise

  • Plan, manage and deliver communication about the data cleanse activity to the key stakeholders throughout the process.

  • Manage project risks and issues and manage stakeholder's expectations on initiatives started

  • Align data quality operations with strategic business objectives by prioritizing checks on data assets that feed Core KPIs.

KPIs:

  • Data Quality Index (DQI): Assess the overall quality of data across the enterprise, considering factors such as accuracy, completeness, consistency, and timeliness.

  • Data Issue Resolution Time: Monitor the time taken to identify and resolve data quality issues reported by various stakeholders.

  • Compliance with Data Governance Policies: Ensure adherence to established data governance policies and procedures, including alignment of data quality objectives with governance policies.

  • Stakeholder Satisfaction:Measure stakeholder satisfaction with data quality improvements and initiatives through regular surveys or feedback sessions.

TOP 3-5 DELIVERABLES:

  • Data Quality Objectives: Establish and communicate data quality objectives aligned with Data Governance Policies, ensuring that they are clearly defined, measurable, and achievable.

  • Automated Data Quality Check Suite: A robust library of SQL/DBT-based checks including anomaly detection.

  • Incident Impact Reports: Documentation linking DQ issues to specific Business KPI impacts.

  • Data Issue Resolution Framework: Operationalized workflow for fixing detected errors.

  • Data Quality KPI Management: Define, track, and manage Data Quality Key Performance Indicators (KPIs) across the enterprise, monitoring data quality metrics and performance against established benchmarks.

HIRING REQUIREMENTS:


Work Experience

  • 6+ years of experience in working with data management teams

  • 5-6 years of experience with implementing or managing enterprise-scale data warehouse or data management projects

  • 3+ years of experience managing people or leading project teams

  • 3+ years of experience with data warehouse, MDM, and data integration initiatives

Level of Knowledge

  • Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree

  • Certification in relevant database and business intelligence technologies helpful

  • Strong SQL knowledge

  • Deep understanding of the architecture discipline, processes, concepts, and best practice

  • Strong understanding of data tools (cleansing, master data management, metadata, etc.) and data quality policies and procedures

  • Meticulous attention to detail with an overall passion for the discipline of Project Management

  • Ability to understand key business drivers and how data quality affects business KPIs.

  • Deep understanding of data profiling, cleansing, and metadata management.

  • Familiarity with anomaly detection algorithms and statistical monitoring.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

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