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Data Integrity Manager Jobs (NOW HIRING)

The Data Integrity Representative is responsible for ensuring the integrity of the patient record ... management/prioritization skills. Detail Oriented. * Job Duties * Produces and monitors EMPI ...

In this role, the Data Integrity Assistant will support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and ...

In this role, the Data Integrity Assistant will support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and ...

In this role, the Data Integrity Assistant will support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and ...

In this role, the Data Integrity Assistant will support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and ...

In this role, the Data Integrity Assistant will support the ongoing management of engagement letters, waivers, and related client documentation, as well as assist with party linking, client and ...

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Data Integrity Manager information

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$31K

$97.1K

$172K

How much do data integrity manager jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data integrity 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 some common challenges faced by Data Integrity Managers, and how can they be addressed?

Data Integrity Managers often encounter challenges such as ensuring data accuracy across multiple systems, managing data governance policies, and addressing data quality issues that arise from manual entry or system migrations. These challenges can be addressed by implementing robust data validation processes, fostering a culture of accountability among team members, and working closely with IT and business stakeholders to establish clear data standards. Regular audits and ongoing training can also help maintain high data integrity standards and minimize errors.

What is the difference between Data Integrity Manager vs Data Quality Analyst?

AspectData Integrity ManagerData Quality Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Data Science, IT, or related; certifications like CDMP or Six Sigma
Work EnvironmentOversees data management teams, implements data policies, ensures data accuracy and securityAnalyzes data sets, identifies quality issues, recommends improvements
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon in analytics, business intelligence, and data-driven sectors

The Data Integrity Manager focuses on maintaining the overall accuracy, security, and consistency of data across systems, often managing teams and policies. In contrast, the Data Quality Analyst primarily analyzes data sets to identify and resolve quality issues. Both roles require similar certifications and are vital in data-centric industries, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Data Integrity Manager, and why are they important?

To thrive as a Data Integrity Manager, you need expertise in data management, quality assurance, and compliance, often supported by a degree in information systems or related fields. Familiarity with database management systems (DBMS), data governance tools, and certifications like CDMP or DAMA are typically required. Strong attention to detail, analytical thinking, and effective communication help you proactively address data issues and collaborate across departments. These skills ensure accurate, reliable data that supports business decisions and regulatory compliance.

What are Data Integrity Managers?

Data Integrity Managers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They oversee data governance policies, implement quality control measures, and work closely with IT and business teams to maintain compliance with regulations and standards. Their role is crucial in industries where data accuracy impacts decision-making, regulatory compliance, and operational efficiency.
What cities are hiring for Data Integrity Manager jobs? Cities with the most Data Integrity Manager job openings:
What are the most commonly searched types of Data Integrity jobs? The most popular types of Data Integrity jobs are:
What states have the most Data Integrity Manager jobs? States with the most job openings for Data Integrity Manager jobs include:
Infographic showing various Data Integrity Manager job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manager, Data Integrity #2385

Pivotal Talent Search

Manhattan, NY • On-site

Other

Posted 18 days ago


Job description

Overview
The Manager, Data Integrity leads the governance, accuracy, and maintenance of merchandise attribution data across product systems and operational workflows. This role oversees a team responsible for item setup, attribute management, vendor size chart maintenance, and product data quality, ensuring timely and accurate information that supports merchandising, digital experiences, and business decision-making. Partnering closely with Buying, Assortment Planning, and Technology teams, this position plays a key role in maintaining data standards and improving operational processes across the product lifecycle.

Responsibilities

  • Lead and develop a team responsible for item creation, attribute maintenance, vendor size charts, and related product data workflows
  • Ensure timely and accurate style creation aligned to merchandise and purchase order timelines
  • Monitor team KPIs and operational workflows to maintain service levels and data quality standards
  • Manage vendor deadline calendars and coordinate workflows across merchandising and operational teams
  • Oversee product attribute maintenance, updates, corrections, and ongoing data governance activities
  • Partner with merchant teams to support product categorization and family code maintenance that improves customer experience and product discoverability
  • Maintain vendor sizing information to ensure accurate online customer-facing data
  • Serve as the subject matter expert for product master data systems, including requirements gathering, testing, validation, and release support for system enhancements
  • Maintain master data standards and govern business change requests in alignment with data policies and procedures
  • Identify, troubleshoot, and escalate data quality issues while driving process improvements and operational efficiencies
  • Manage hiring, training, coaching, and performance management for the Data Integrity team

Qualifications

Required

  • Bachelor’s degree preferred
  • 2+ years of relevant retail, merchandising operations, product data, or data management experience
  • Experience supporting product data management, data governance, or data quality processes
  • Strong attention to detail and ability to manage high-volume data workflows accurately
  • Strong organizational skills with the ability to prioritize and manage multiple tasks in a fast-paced environment
  • Advanced proficiency in Microsoft Excel and Microsoft Office tools
  • Strong communication and cross-functional collaboration skills
  • Process-oriented mindset with experience documenting workflows and improving operational processes

Preferred

  • Experience supporting merchandise, product master, or retail data systems
  • Experience working cross-functionally with merchandising, planning, or technology teams
  • Experience leading or mentoring teams in operational or data-focused environments