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Data Quality Manager Jobs (NOW HIRING)

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

Data Quality Engineer

Montgomery, AL · On-site

$113.30K - $136K/yr

Job Role : Data Quality Engineer Duration : 03 months (Possibility of extension) Location ... Multi-cloud Management Services : Helping businesses digitally transform with smart cloud ...

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Associate Director, Data Quality

Boston, MA · Hybrid

$160K - $240K/yr

The Associate Director, Data Quality Platform is a senior technology and product leader within the ... Lead and manage technology teams and MSPs responsible for DQ platform engineering and operations.

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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 May 31, 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:
Infographic showing various Data Quality Manager job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

$185K - $195K/yr

Other

Medical, Dental, Life, Retirement

Posted 3 hours ago


Job description

Job Title: VP, Data Quality Management 

Location: NJ/NYC 

Take the next step in your career with us. 

Allied World is an ideal place for talented professionals who are driven by a belief in the value of collaboration and the power of knowledge. 

We believe that when our great people work together and support one another, our clients receive the best solutions. We embrace unique perspectives and empower each person to grow through professional development, career training, and mentoring programs. 

Our people are our most important asset, and we are very proud of the quality of our team members. 

Position Summary:  

We are looking for a visionary VP of Data Quality Management to architect and execute Allied World's enterprise data quality and governance initiatives. This role is perfect for a builder who thrives on setting and elevating data quality standards, implementing state-of-the-art Master Data Management (MDM) solutions, and enabling business growth through data-driven strategy. 

The successful candidate will serve as a key architect of Allied World's data-driven transformation, establishing foundational frameworks that enable sustainable growth, operational efficiency, competitive advantage, and will be reporting to Chief Data Officer. 

Key Responsibilities: 

Strategic Leadership & Roadmap Development 

  • Develop and execute comprehensive enterprise roadmap for data quality, completeness, and accuracy across all critical business domains with measurable KPIs and executive-level reporting 

Stakeholder Engagement & Change Management 

  • Secure senior leadership buy-in and collaborate with business unit leaders to align data quality initiatives with revenue generation and operational efficiency goals 

Data Governance & Quality Framework 

  • Define comprehensive data quality metrics, tolerance thresholds, and lead cross-functional teams in deploying automated monitoring systems with continuous improvement processes 

Metadata Management & Documentation 

  • Implement enterprise-wide metadata management, data lineage tracking, and comprehensive cataloging tools to enable self-service analytics and data discovery 

Organizational Development & Education 

  • Design data governance organizational frameworks with clear accountability and deliver comprehensive training programs to promote data-driven culture across the enterprise 

Oversight & Compliance Management 

  • Establish robust governance oversight mechanisms including regular assessments, audits, and executive reporting through interactive dashboards and strategic metrics 

Technology Implementation & Optimization 

  • Implement and optimize Master Data Management (MDM) platforms and leverage advanced data quality tools (Collibra, Informatica, Talend) to drive measurable improvements in data accuracy 

Compensation 

The below annualized base pay range is a broad range based on analysis of similar positions in the market. The actual base pay for the position may be above or below he listed range and determined by a number of considerations, including but now limited to complexity, location, and scope of the role, along with experience, skills, education, training, and other conditions of employment. Base salary represents one compensation of Allied World comprehensive total reward package, which may also include annual incentive compensation rewards. 

$185,000 - $195,000 

Professional Experience / Qualifications 

  • Experience: 10 years in data quality management/data governance (preferably in P&C insurance) 

  • Scale: Success in large-scale, complex data governance initiatives 

  • Leadership: Led enterprise-wide data transformation with measurable impact 

  • Stakeholder Management: Secured executive buy-in and influenced strategic priorities 

  • Communication: Exceptional presentation skills; translate technical concepts for business audiences 

  • Technical Expertise: Deep knowledge of enterprise data quality tools, frameworks, and MDM 

  • Technical Skills: Proficient in SQL, Python, and data analysis tools; strong strategic thinker 

  • Analytical Ability: Developed and implemented data-driven solutions for complex challenges 

  • Education: Bachelor's degree or Advanced degree or equivalent in MIS, Computer Science, Data & Analytics or related field. 

Allied World Assurance Company Holdings, Ltd, through its subsidiaries, is a global provider of insurance and reinsurance solutions. We operate under the brand Allied World and have supported clients, cedents and trading partners with thoughtful service and meaningful coverages since 2001. We are a subsidiary of Fairfax Financial Holdings Limited and benefit from a strong capital base and a worldwide network of affiliated entities that allow us to think and respond in non-traditional ways. 

Our generous benefits package includes: Health, Dental and Disability Insurance, a company match 401k plan, and Group Term Life Insurance. Allied World is an Equal Opportunity Employer. All qualified applicants will be considered for employment without consideration of any disability, veteran status or any other characteristic protected by law. 

To learn more, visit awac.com, or follow us on Facebook at facebook.com/alliedworld and LinkedIn at linkedin.com/company/allied-world.Â