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

Experience with data quality management, harmonization programs, and post-go-live governance models. * SAP certification or relevant architecture, data, or transformation credentials. KBI Biopharma ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... management analytics 3. Data Quality & Data Governance • Build and maintain data quality rules for core data pipelines; ensure data accuracy, completeness, consistency, and timeliness • ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

... management analytics 3. Data Quality & Data Governance • Build and maintain data quality rules for core data pipelines; ensure data accuracy, completeness, consistency, and timeliness • ...

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AI & Data Strategy Manager

Raleigh, NC · On-site

$115K - $125K/yr

AI & Data Strategy Manager - Direct Hire | Hybrid (Raleigh, NC Area) Artificial Intelligence / Data ... Support data governance, data quality initiatives, and data accessibility efforts * Partner with ...

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Knowledge of electronic quality management systems, data integrity frameworks, and regulatory expectations. * Leadership experience, strong collaboration skills, and effective decision-making ...

Snowflake Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... management, and cost optimization. • Leverage Gemini Enterprise to accelerate metadata discovery, schema conversion, data quality validation, reconciliation, and migration documentation. • ...

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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 Jul 6, 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, 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.

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:
Infographic showing various Data Quality Manager job openings in Raleigh, NC as of June 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.
SAP Enterprise Data Architect

Full-time

Posted 19 days ago


Job description

JOB SUMMARY

The SAP Enterprise Data Architect role provides expertise in SAP S/4HANA data architecture, enterprise data modeling, migration strategy, and data governance. This is a key role in designing scalable data structures across source, staging, and target environments; defining migration and validation frameworks; and enabling high-quality, business-ready data to support operational processes, reporting, and analytics. This position requires strong partnering with business, functional, and technical stakeholders to align data design with transformation objectives, compliance requirements, and long-term governance standards.


JOB RESPONSIBILITIES

  • Lead the design and governance of the enterprise data model for SAP S/4HANA, ensuring alignment across legacy sources, staging layers, and target business objects.
  • Define end-to-end data architecture, including data lineage, harmonization rules, established structures, and simplified staging models to support efficient migration and downstream consumption.
  • Establish data standards, governance policies, ownership models, validation rules, and reconciliation criteria to improve data quality, integrity, and auditability.
  • Partner with business process owners, functional leads, and technical teams to translate business requirements into scalable data designs that support core operational processes and analytics.
  • Guide migration strategy and object-level design decisions, including load sequencing, dependency management, logic, and tool selection for SAP S/4HANA data loads.
  • Support data profiling, cleansing, and harmonization activities across master and transactional data domains to improve readiness for migration.
  • Ensure migrated data supports reporting, compliance, and business performance requirements, including readiness for operational KPIs and downstream integrations.
  • Provide architectural oversight for migration tooling such as SAP S/4HANA Migration Cockpit, staging table approaches, ETL frameworks, and related SAP data services.
  • Develop and maintain architecture documentation, data mapping standards, and design artifacts to support delivery teams, governance bodies, and audit requirements.
  • Drive continuous improvement in enterprise data practices by promoting reusable patterns, stronger governance, and sustainable data quality processes

REQUIRED KNOWLEDGE, SKILLS, & ABILITIES

  • Bachelor's degree in information systems, Computer Science, Engineering, Business, or a related field.
  • 10 to 15 years of experience working in SAP with multiple implementations across multiple modules.
  • Experience in enterprise data architecture, data migration, or master data management within SAP environments for both GxP and non-GxP data sets.
  • Strong knowledge of SAP S/4HANA data structures, master data objects, transactional data dependencies, and enterprise integration concepts.
  • Experience defining enterprise data models, data standards, governance frameworks, and migration strategies for large-scale transformation programs.
  • Direct understanding of migration and integration tools such as SAP S/4HANA Migration Cockpit, SAP Data Services, ETL platforms, and staging-based migration methods.
  • Proven ability to lead cross-functional workshops, resolve complex data issues, and align technical design with business priorities.
  • Strong analytical, documentation, communication, and cross-functional stakeholder management skills.
  • Key technical skills in SAP S/4HANA Data Architecture, Enterprise Data Modeling, Data Governance, Data Migration Strategy, Master Data Management, Data Lineage, Data Quality, Data Harmonization, SAP Migration Cockpit, SAP Data Services, ETL Design, Validation and Reconciliation, Business Process Integration, Reporting and Analytics Readiness.

DESIRED KNOWLEDGE, SKILLS, & ABILITIES

  • Experience supporting global SAP S/4HANA implementations across multiple business units, regions, or legal entities.
  • Familiarity with SAP Master Data Governance, SAP Business Technology Platform, and analytics enablement for SAP reporting environments.
  • Knowledge of regulated or compliance-driven environments that require strong data controls, traceability, and audit readiness.
  • Experience with data quality management, harmonization programs, and post-go-live governance models.
  • SAP certification or relevant architecture, data, or transformation credentials.

KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.

I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary.

I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.