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Data Quality Manager Jobs in Raleigh, NC (NOW HIRING)

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... manage field mappings and transformations to support consistent downstream consumption. Data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Clinisys

Director, Enterprise Data Architecture

Morrisville, NC · On-site

$150 - $180/hr

  • Medical

  • Retirement

  • PTO

Drive standardization and reuse of data architecture patterns across the enterprise Data Outcomes & Performance Management * Own measurable data outcomes including data quality, governance maturity ...

Prometheus Group

Master Data SME

Raleigh, NC · On-site

  • Dental

  • Life

  • Retirement

  • PTO

... management (EAM) software solutions that support the management life cycle for equipment ... Conduct thorough data analysis to identify data quality issues, inconsistencies, and redundancies.

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

... data quality and integrity while working closely with data engineers. Responsibilities : • ... and managing Azure Databricks architecture in enterprise environments • Proficiency in SQL and ...

BetaNXT Inc

Manager, Data & Context Governance

Cary, NC · On-site

  • PTO

We are seeking a Manager, Data & Context Governance to build and lead a team of data stewards and ... Serve as the escalation point and quality bar-setter for team output across all domains, owning the ...

WEP Clinical

GMDP Quality Assurance Manager

Morrisville, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The WEP Clinical GMDP Quality Assurance Manager will be responsible for the leadership and ... Extensive knowledge of Good Manufacturing and Distribution Practice including data integrity ...

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All JobsData Quality JobsData Quality Manager JobsData Quality Manager Jobs in Raleigh, NC

Data Quality Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data quality manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data quality manager in Raleigh, NC is $94,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 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 Raleigh, NC?

The most popular types of Data Quality jobs in Raleigh, NC are:

What are popular job titles related to Data Quality Manager jobs in Raleigh, NC?

For Data Quality Manager jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Quality Manager jobs in Raleigh, NC look for?

The top searched job categories for Data Quality Manager jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Quality Manager jobs?

Cities near Raleigh, NC with the most Data Quality Manager job openings:

Data Quality Manager jobs near you
Infographic showing various Data Quality Manager job openings in Raleigh, NC as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $94,427 per year, or $45.4 per hour.

Principal Enterprise Data Analyst

First Citizens

Raleigh, NC • On-site

$90 - $130/hr

Other

Posted 4 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

107th of 171 rated banks

Job description

Overview

This is a hybrid role, with the expectation that time working will regularly take place inside and outside of a company office. Charlotte, NC; Raleigh, NC; Phoneix, AZ

This role will join an Agile pod to support the data environment that enables Regulatory Reporting teams to file complete and accurate regulatory reports. This role focuses on bridging business needs and technical solutions by gathering requirements, analyzing data processes, and ensuring the data environment aligns with data governance and regulatory compliance objectives. Working collaboratively with cross-functional pod members, the Business Analyst will drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment.

This role requires a strong experience in Data Remediation for reg reporting with mix of data expertise, relationship-building, operational rigor, and the ability to partner across global teams. This role will work closely with Finance, Regulatory Reporting, Data Governance, Technology, Architecture, and Operations to identify data challenges, prioritize remediation initiatives, and advance the bank’s data maturity

Responsibilities
  • Requirements Gathering - Collaborate with Regulatory Reporting teams, and stakeholders to elicit, document, and prioritize business requirements
  • Familiarity with regulatory frameworks such as CCAR, FR Y-14, and BCBS 239 along with regulatory and risk-focused mindset
  • Agile Collaboration - Participate in Agile ceremonies (e.g., sprint planning, daily stand-ups, retrospectives) to align on pod goals, refine user stories, and deliver incremental improvements
  • Stakeholder Communication - Act as a liaison between Regulatory Reporting teams, data engineers, and developers to translate business needs into actionable technical requirements.
  • Data Quality & Governance - Support the implementation of data quality rules and controls to ensure compliance with data governance and regulatory requirements
  • Testing & Validation - Assist in defining acceptance criteria for data-related user stories and support testing to ensure the data environment meets regulatory and business needs
  • Documentation - Create and maintain clear documentation, requirements specifications, and user guides, as well as source-to-target mapping and metadata documentation in Collibra, to support regulatory audits and team workflows
  • Understand Regulatory Edit Checks and other data quality controls and work with stakeholders to strengthen the risk and control environment
  • Root Cause Analysis - Conduct thorough root cause analysis of data gaps and data quality issues and formulate the resulting remediation initiatives
  • Regulatory Responses - Formulate responses to Regulatory Edit Checks and other inquiries that result from FR Y-14Q filings
  • Understanding of data environments, including databases (e.g., SQL Server, Oracle, Snowflake, Netezza), both on-prem and in cloud. And familiarity with ETL and data virtualization tools. Good understanding of SQL
Data Quality, Controls & Remediation
  • Data remediation programs focused on improving accuracy, completeness, consistency, and timeliness of data used in Finance and Regulatory Reporting.
  • Strengthen end-to-end data controls, including lineage, reconciliation, validations, monitoring, and issue management.
  • Identify data breakages, root causes, and impactful remediation pathways in partnership with global stakeholders.
  • Drive continuous improvements aligned with enterprise data governance policies and regulatory expectations.
Finance & Regulatory Reporting Enablement
  • Support data requirements for key regulatory filings (e.g., FR Y-14, Y-9C, Call Reports, Liquidity, and other finance data needs).
  • Ensure data quality thresholds, reconciliation processes, and lineage mapping meet the needs of Finance and Regulatory Reporting teams.
  • Collaborate with SMEs to align data processes with evolving regulatory and internal reporting requirements.
Data Governance & Standards
  • Follow enterprise data governance policies, standards, and controls across critical data domains.
  • Partner with Data Governance to ensure business terms, data definitions, lineage, and critical data elements meet required standards.
  • Drive adoption of governance frameworks and champion data stewardship across Finance and Regulatory Reporting.
Stakeholder Engagement & Relationship Management
  • Build and sustain strong working relationships with across Finance, Regulatory Reporting, Data Governance, Engineering, Architecture, and Operations.
  • Ensure clear, transparent, and proactive communication with global teams and stakeholders at multiple levels.
Team Leadership & Growth
  • Develop talent, foster collaboration, and promote a culture of accountability and continuous improvement.
  • Play a key role in scaling the Enterprise Data & Analytics presence
Strategic Data Migration & Modernization
  • Help identify and prioritize strategic data migration opportunities to modern platforms (e.g., cloud environments, Snowflake) in partnership with Engineering & Architecture teams.
  • Ensure data migrations contribute to improvements in data quality, governance maturity, and operational resilience.
  • Drive adoption of modern data tools and capabilities across enterprise teams.
Technical Skills:
  • Hands on experience in database connectivity, SQL Server / Dev, Oracle, Snowflake, Netezza, both on-prem and in cloud. And familiarity with ETL and data virtualization tools.
  • Experience in data governance tools like Collibra or equaling
  • Good Knowledge or experience in Python, AI / ML, Data visualization tools like Power BI, Tableau
Qualifications

Bachelor's Degree and 8 years of experience in Data Management, Data Analytics, Enterprise Risk Management OR High School Diploma or GED and 12 years of experience in Data Management, Data Analytics, Enterprise Risk Management

Preferred:
  • 12 to 16+ years of experience in data management, data quality, data remediation, data governance, preferably within banking or financial services.
  • Prepare and present clear, concise reporting for senior management and key stakeholders on regulatory reporting status, data quality issues, risks, dashboards, MBR’s, KPI, Operational decks
  • Prior banking experience in large financial institutions and experience supporting regulatory reporting functions is strongly preferred.
  • Strong understanding of Finance and Regulatory Reporting data needs.
  • Proven ability to collaborate effectively with global teams across Finance, Regulatory Reporting, Technology, and Governance.
  • Experience in leading junior team members by training, coaching & Initiating collaboration with various data teams, stakeholders & Management for effective deliverables.
  • Demonstrated experience identifying data issues, driving root cause analysis, and leading remediation initiatives.
  • Bachelor’s or master’s degree in engineering, Data, Engineering, Finance, Computer Science, or related field.
  • Experience with cloud data platforms (Snowflake, AWS, Azure).
  • Exposure to data lineage tools, metadata management platforms, and data quality monitoring solutions.
  • Experience working with enterprise data quality tools, frameworks, and control processes.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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