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Data Quality Manager Jobs in Ohio (NOW HIRING)

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 ...

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 ...

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 ...

Experience with data quality management and defect tracking systems * Analytical skills to understand and interpret data issues * Ability to work independently and manage multiple tasks ...

Experience with data quality management and defect tracking systems * Analytical skills to understand and interpret data issues * Ability to work independently and manage multiple tasks ...

We are seeking Quality Manager to assist the various department heads in formulating quality ... They must analyze data gathered and plan accordingly to improve quality output. They will be ...

Quality Manager Job Status: Full-Time Employee, Exempt Salary Department: Quality Reports To ... Utilize data-driven decision-making and structured problem-solving tools to drive measurable ...

The Quality Manager is responsible for providing supervision for the quality function in support of ... Demonstrated ability to analyze data, identify trends, and implement solutions. * Exceptional ...

Typical Quality Manager responsibilities include maintaining quality systems, leading audits, managing corrective actions, analyzing quality data, and developing quality personnel. Key ...

Quality Manager

Tipp City, OH · On-site

$95K - $125K/yr

Typical Quality Manager responsibilities include maintaining quality systems, leading audits, managing corrective actions, analyzing quality data, and developing quality personnel. Key ...

Quality Manager

Dayton, OH · On-site

$100K - $130K/yr

Job Type Full-time Description Position Summary The Quality Manager is responsible for developing ... Data Analysis * Executive Communication Physical Requirements * Ability to walk manufacturing floor ...

Description Position Summary The Quality Manager is responsible for developing, implementing, and ... Data Analysis * Executive Communication Physical Requirements * Ability to walk manufacturing floor ...

Quality Manager

Tipp City, OH · On-site

$95K - $125K/yr

Typical Quality Manager responsibilities include maintaining quality systems, leading audits, managing corrective actions, analyzing quality data, and developing quality personnel. Key ...

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Data Quality Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data quality manager jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data quality manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

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.

Is data quality a good career?

Data Quality Managers play a crucial role in ensuring the accuracy, consistency, and reliability of data within organizations. The field offers strong job growth, competitive salaries, and opportunities to work with data management tools and standards, making it a valuable career choice for those interested in data integrity and analytics.

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 role of a data quality manager?

A data quality manager is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. They develop data standards, implement quality control processes, and use tools like data profiling and validation to maintain high data integrity. This role often requires strong analytical skills and knowledge of data management software.

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.

What are the most commonly searched types of Data Quality jobs in Ohio? The most popular types of Data Quality jobs in Ohio are:
What are popular job titles related to Data Quality Manager jobs in Ohio? For Data Quality Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Quality Manager jobs in Ohio look for? The top searched job categories for Data Quality Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Quality Manager jobs? Cities in Ohio with the most Data Quality Manager job openings:
Infographic showing various Data Quality Manager job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

$103K - $124K/yr

Other

Re-posted 8 days ago


Job description

Description

The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable across enterprise systems including ERP, CRM, analytics platforms, and customer-facing applications, while reducing operational inefficiencies and improving trust in data.


Key Responsibilities

  • Define, implement, and maintain data quality rules aligned to business processes and use cases.
  • Monitor data quality across core ISO-8000 data quality standards (i.e. completeness, accuracy, consistency, validity, uniqueness, referential integrity, and timeliness).
  • Design and implement data quality monitoring and alerting to proactively identify issues as they arise, with a focus on reducing recurring data issues, manual corrections, and downstream operational impacts.
  • Perform root cause analysis on data issues across source systems, pipelines, and downstream applications.
  • Own cross-system data quality validation, ensuring data integrity is enforced at ingestion, transformation, and load stages
  • Partner with business stakeholders and technical teams to establish and steward accountability for data ownership, business definitions, and quality expectations across enterprise systems.
  • Design and support remediation workflows to ensure timely resolution of data quality issues with clear ownership and resolution SLAs.
  • Support implementation of data classification standards (e.g., PII, sensitive data) in alignment with GDPR, CCPA, applicable regulatory requirements and AI initiatives.
  • Leverage Microsoft Purview to improve visibility into data lineage, definitions, ownership, and classification.
  • Define and track data quality KPIs; report regularly on quality trends, issue resolution rates, and business impact to leadership and governance stakeholders


Requirements

Required Qualifications

  • Bachelor's Degree in Information Technology, Computer Science, Data Analytics, or a related field.
  • Minimum of 3-5 years of experience in data quality, data engineering, data governance, or analytics roles.
  • Strong proficiency in SQL for data analysis and validation.
  • Experience working with data pipelines and transformation tools (Azure Data Factory preferred).
  • Strong analytical and problem-solving skills, with the ability to diagnose data issues across systems.
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to translate business needs into practical data quality solutions.
  • Ability to operate independently with limited day-to-day supervision in a distributed team environment. 
  • Solid understanding of relational data modeling concepts, including entity relationships, normalization, and schema design across systems.

Preferred Qualifications

  • Experience working in commercial, distribution, and/or light manufacturing environments.
  • Experience with data governance and metadata management tools (e.g., Microsoft Purview, Collibra, Alation, Informatica)
  • Familiarity with master data management concepts (Customer and Product domains).
  • Experience implementing data quality frameworks or working with standards such as DAMA-DMBOK or ISO-8000.
  • Exposure to CRM (Salesforce, HubSpot) and/or ERP (Epicor).
  • Experience supporting analytics platforms such as Power BI.

Key Competencies

  • Data-driven problem solving in an enterprise environment.
  • Cross-functional collaboration.
  • Stakeholder engagement and influence.
  • Process improvement and operational efficiency.



TPC Wire & Cable is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. This job description is not intended to list all responsibilities; duties may evolve as business and market needs change.