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Data Quality Manager Jobs (NOW HIRING)

Job Summary The Manager, Data Quality is a data governance focused role that is responsible for defining, maturing, and overseeing the enterprise data quality program within the Data & AI Governance ...

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

The individual will partner with Data Governance, IT, and business teams to oversee data quality measurement, issue management, and remediation. They will champion data quality excellence, mentor ...

You will provide leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement. As Director you will partner closely with cross-functional ...

OR · On-site

$66K - $78K/yr

Build data that builds homes. As the Resource Development Donor Data Quality Manager at Habitat for Humanity International (HFHI), you will use data to fuel opportunity, strengthen donor ...

You will provide leadership across data quality management, governance, reporting integrity, data stewardship, and process improvement. As Director you will partner closely with cross-functional ...

External About the RoleAs a Data Quality officer, you will be a key enabler focused on maximizing ... Work with IT and Data Management teams to define requirements for data cleansing and correction ...

Candidate MUST have directly managed employees; providing mentoring, coaching and professional ... data quality controls using IBM Information Analyzer (or equivalent toolset) * Knowledge of ...

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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 Jul 11, 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:
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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Full-time

Re-posted 11 days ago


Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
Role Description
The Vice President, Data Quality Manager will play a critical leadership role within the Chief Data & Analytics Office (CDAO), owning the design, execution, and continuous enhancement of the firm's enterprise data quality strategy. This role is responsible for establishing strong data quality standards, controls, metrics, and governance across critical data domains to enable accurate reporting, analytics, regulatory compliance, and business decision-making.
The successful candidate will partner closely with business leaders, technology teams, and data owners to ensure data is fit for purpose across the enterprise. This role requires a balance of strategic leadership, operational execution, and strong stakeholder management.
Role will be sitting Charlotte, NC.
Role Objectives
  • Partner with Data Owners, and Data Stewards to define and develop data quality rules aligned to business and regulatory requirements.
  • Drive consistency in data quality practices across front, middle, and back-office functions.
  • Oversee implementation of data quality controls across source systems, data platforms, and downstream consumption layers.
  • Ensure proactive identification, prioritization, and remediation of data quality issues, including root cause analysis and sustainable fixes.
  • Establish standardized processes for data issue management, including documentation, tracking, and reporting.
  • Communicate data quality performance, risks, and remediation plans to senior stakeholders.
  • Serve as a senior point of contact for data quality-related discussions with business leaders, technology partners and Functional Business Areas.
  • Support regulatory and audit inquiries by providing data quality evidence, controls, and documentation.
  • Translate complex data quality concepts into clear, business-relevant insights for non-technical audiences.

Qualifications and Skills
Required:
  • Minimum 5 years of data management, data governance, data quality, or related roles within financial services or a highly regulated industry.
  • Bachelor's degree required, advanced degree a plus.
  • Demonstrated experience leading enterprise-scale data quality initiatives across complex data environments.
  • Strong SQL skills required.
  • Ability to perform data profiling exercises to identify potential issues such as duplicate records, missing values or inconsistent data formats.
  • Strong understanding of data governance concepts, including key data elements (KDEs), data lineage, metadata, data quality and data controls.
  • Excellent written and verbal communication skills.

Preferred:
  • Experience with data quality tools, reporting dashboards, or data management platforms.
  • Strong analytical mindset with the ability to identify patterns, risks, and opportunities within large datasets.
  • Highly organized, detail-oriented, and comfortable operating in a fast-paced, matrixed environment.
  • Ability to balance strategic thinking with hands-on execution.

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.