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Data Quality Manager Jobs in Chicago, IL (NOW HIRING)

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

Sciaky Inc.

Quality Manager

Bedford Park, IL · On-site

$70K - $80K/yr

The Quality Manager: 1. Reviews documentation acceptance or rejection records, test results, and inspection data and compares findings with specifications to ensure conformance of quality standards ...

New

Epitec

Quality Manager

Chicago, IL · On-site

$130K/yr

Quality Manager Location: Chicago, IL Pay Range: $130,000 annually + 12% bonus Job Type: Direct ... Maintain data-driven reporting systems for product and process quality performance. * Ensure ...

Thunderbird LLC.

Quality Manager

Elgin, IL

$90K/yr

Quality Manager Position Overview The Quality Manager is responsible for developing, implementing ... data, scrap rates, defects, and customer complaints to identify trends and corrective actions. • ...

AMBE Engineering LLC

Quality Manager

Chicago, IL · On-site

Quality Manager Full-Time Chicago, IL We are seeking a strategic and dynamic Quality Manager to ... Implement and maintain data-driven systems for product and process reporting. Promote a culture of ...

Thunderbird Metals

Quality Manager

Elgin, IL · On-site

$90K/yr

Quality Manager Position Overview The Quality Manager is responsible for developing, implementing ... data, scrap rates, defects, and customer complaints to identify trends and corrective actions. • ...

Ursitti Enterprises LLC

Quality Manager

Chesterton, IN · On-site

Quality Control Manager (Printing / Manufacturing Environment) Location: Porter County, IN Area Job ... Analyze quality data, metrics, and trends to identify improvement opportunities * Collaborate with ...

Pretium Packaging L.L.C.

Quality Manager

Aurora, IL · On-site

Analyze trends and data to proactively improve performance Own Food Safety Programs: * Lead food ... A bachelor's degree in quality engineering or quality management * Strong knowledge of GMP, quality ...

Pretium Packaging

Quality Manager

Aurora, IL · On-site

$75K - $90K/hr

Analyze trends and data to proactively improve performance Own Food Safety Programs: * Lead food ... A bachelor's degree in quality engineering or quality management * Strong knowledge of GMP, quality ...

Independence Corrugated

Quality Manager

Cicero, IL · On-site

Analyze quality performance data and trends to identify opportunities for improvement and drive ... Manages or completes corrective and preventive actions (CAPA) focusing on the systematic ...

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All JobsData Quality JobsData Quality Manager JobsData Quality Manager Jobs in Chicago, IL

Data Quality Manager information

See Chicago, IL salary details

$32K

$100.2K

$177.3K

How much do data quality manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data quality manager in Chicago, IL is $100,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,400.00 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.

What are the most commonly searched types of Data Quality jobs in Chicago, IL?

The most popular types of Data Quality jobs in Chicago, IL are:

What are popular job titles related to Data Quality Manager jobs in Chicago, IL?

For Data Quality Manager jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Quality Manager jobs in Chicago, IL look for?

The top searched job categories for Data Quality Manager jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Quality Manager jobs?

Cities near Chicago, IL with the most Data Quality Manager job openings:

Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in Chicago, IL 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $100,152 per year, or $48.1 per hour.

Manager, Data Quality & Controls

Morningstar DBRS

Chicago, IL • On-site

Full-time

Medical, Dental, Life, Retirement

Posted 10 days ago

Job description

Job Description
The Role:
Morningstar DBRS is seeking a Manager, Data Quality & Controls to lead the development and execution of the enterprise data quality and controls program. Reporting to the Senior Director, Data Products, this role will assess existing controls, identify gaps, and establish standards, processes, and governance to ensure critical ratings, regulatory, and enterprise data is accurate, complete, well-documented, and fit for purpose.
The Manager will drive the data controls roadmap, design scalable quality controls, and partner across Data Management, Credit Operations, Technology, Legal, Risk, Compliance, and Product teams to embed strong data practices into operations, regulatory reporting, platform modernization, and AI initiatives.
The ideal candidate has experience building or enhancing data governance and control frameworks within a regulated financial services environment and can influence stakeholders across all levels of the organization.
Key Responsibilities
Data Controls & Governance
Lead the design and ongoing enhancement of the enterprise data controls framework, including governance standards, workflows, metrics, issue management, and remediation processes. Assess existing controls, identify gaps, and drive improvements that align with regulatory requirements, audit expectations, and industry best practices. Own the data controls roadmap and promote data stewardship, accountability, and ownership across the organization.
Standards, Procedures & Data Quality
Develop and maintain data governance standards, procedures, and controls related to data quality, metadata, lineage, documentation, classification, retention, and issue management. Implement data quality checks, validations, and monitoring processes to ensure critical datasets remain accurate, complete, and compliant with legal, regulatory, and internal requirements.
Data Platform & External Feed Controls
Partner with business and technology teams to support platform modernization and data-feed initiatives, ensuring data integrity and control continuity throughout migrations and enhancements. Define control requirements for data products, integrations, APIs, analytics, and AI-enabled solutions, while establishing quality standards and validating migration outcomes.
Leadership & Team Development
Lead and develop a team of data analysts by providing coaching, setting priorities, and overseeing deliverables. Drive excellence in data quality monitoring, metadata management, issue remediation, and the adoption of data governance best practices and tools.
AI-Ready Data Management
Establish data and metadata standards that support AI, analytics, and automation initiatives. Ensure datasets are properly documented, governed, and controlled, with clear ownership, lineage, and quality measures. Collaborate with Compliance, Legal, Risk, and Technology teams to promote responsible AI practices, data privacy, and transparent use of enterprise data assets.
Qualifications & Experience
  • Bachelor's degree in Business, Economics, Finance, Data Science, Computer Science, or Management Studies (Master's a plus).
  • 5 + years of Proven experience building a data controls governance program in a regulated financial services environment.
  • Ability to work independently with senior managers and align stakeholders.
  • Strong understanding of controls, governance frameworks, data quality, metadata, and lineage.
  • Experience authoring policies, standards, and procedures, data-quality controls and KPIs.
  • Experience supporting regulatory data and reporting processes; familiarity with data-related regulatory expectations in financial services is a strong asset.
  • Prior people-management or team-lead experience, with the ability to coach and develop analysts is a plus, but not required

Technical Skills
Technical requirements emphasize control execution, data-quality oversight, and monitoring.
  • Cloud and data platforms: exposure to modern cloud platforms: Snowflake, Azure, or AWS
  • Data controls and catalog platforms: experience with metadata, lineage, and catalog tools such as DataHub, Collibra, Alation, Informatica, Microsoft Purview, or equivalents.
  • SQL: ability to query, analyze, and validate large datasets in MS SQL Server or similar platforms.
  • Data quality and lineage: data profiling, reconciliation, root-cause analysis, and end-to-end lineage documentation.
  • AI controls: working understanding of responsible-AI principles and controls for AI-ready data.
  • BI and analytics: experience building governance, data-quality, control, or operational dashboards using Power BI, Tableau, Excel, or similar tools.
  • Financial data: familiarity with fixed income, structured finance, credit ratings, and capital-markets data; experience with Bloomberg and/or Refinitiv Eikon is a plus.

Core Competencies
  • Excellent communication skills, with the ability to explain data controls concepts to technical and business audiences.
  • Strong stakeholder management and influencing skills.
  • Subject-matter expertise in data controls, data quality, metadata, lineage, and regulatory data practices.
  • Sound judgment, attention to detail, and a structured results-oriented approach to complex problems.
  • Self-starter with the ability to manage multiple priorities, navigate ambiguity, and deliver on time.

Total Cash compensation range $126,459 - $193,906
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
  • Financial Health
    • 100% 401k match up to 6% of salary
    • Stock Ownership Potential
    • Company provided life insurance - 1x salary + commission
  • Physical Health
    • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
    • Additional medical Wellness Incentives - up to $300-$600 annual
    • Company-provided long- and short-term disability insurance
  • Emotional Health
    • Trust-Based Time Off
    • 6-week Paid Sabbatical Program
    • 6-Week Paid Family Caregiving Leave
    • Competitive 8-24 Week Paid Parental Leave
    • Adoption Assistance
    • Leadership Coaching & Formal Mentorship Opportunities
    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
    • Tuition Reimbursement
  • Social Health
    • Charitable Matching Gifts program
    • Dollars for Doers volunteer program
    • Paid volunteering days
    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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