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Data Integrity Manager Jobs in New York (NOW HIRING)

Job Title : Data Integrity Analyst Location : Onsite - New York City, NY Status : Full-time Reports To : Head of AI & Strategy, with dotted-line accountability to Finance, Human Resources,

About Us Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of

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Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role

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Data Integrity Manager information

See New York salary details

$33.9K

$106.3K

$188.2K

How much do data integrity manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data integrity manager in New York is $106,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,300.00 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?

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 is a data integrity manager?

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 are popular job titles related to Data Integrity Manager jobs in New York? For Data Integrity Manager jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Data Integrity Manager jobs? Cities in New York with the most Data Integrity Manager job openings:
Infographic showing various Data Integrity Manager job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,280 per year, or $51.1 per hour.

Data Integrity Analyst

Majesty Brands

Manhattan, NY โ€ข On-site

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title: Data Integrity Analyst

Location: Onsite - New York City, NY

Status: Full-time

Reports To: Head of AI & Strategy, with dotted-line accountability to Finance, Human Resources, Operations, Business Planning, and other operational leaders

Pay Range: $70,000k-$100,000k annually


Company Overview

Majesty Brands is a global leader in the socks, sleepwear, and intimates' categories. With distribution in over 70 countries and a dynamic seasoned staff, Majesty is the 'go to' resource for retailers and brands alike. Majesty has dedicated teams strategically placed to maintain business in each area of retail. Our approach is simple. We want to service each customer's needs. Sometimes it's about value and sometimes it's about fashion. In all cases, we're here to ensure the end user is completely satisfied with their purchase.


Position Overview

Majesty Brands is seeking a highly organized, detail-oriented Data Integrity Analyst to ensure the accuracy, consistency, completeness, and reliability of critical information across the organization. This role will be integral to Majesty Brandsโ€™ ERP transition and PLM implementation, supporting data cleansing, migration, validation, testing, reconciliation, and ongoing governance across product, inventory, customer, vendor, pricing, financial, operational, and employee-related data.

The ideal candidate is exceptionally organized, analytical, process-driven, and uncompromising about accuracy and compliance. This person must be comfortable communicating directly with employees and leaders at every level, asking difficult questions, challenging inconsistencies, following up persistently, and escalating concerns when required. They must also have the confidence and judgment to pause a transaction, data upload, migration, or other workflow when information is incomplete, inaccurate, unapproved, or creates a data integrity risk.


Key Responsibilities

  • Maintain accurate, complete, consistent, and reliable data across ERP, PLM, inventory, financial, operational, human resources, and related systems.
  • Support the ERP transition and PLM implementation through data discovery, mapping, cleansing, migration, validation, testing, reconciliation, and ongoing maintenance.
  • Audit product information, including style numbers, SKUs, color codes, sizes, descriptions, pricing, costing, category classifications, customer records, vendor records, and inventory data.
  • Identify and correct duplicate, incomplete, outdated, inconsistent, or incorrectly categorized records before system migration or use.
  • Validate migrated data against source records and business requirements before system launch or final approval.
  • Participate in system and user acceptance testing, documenting issues, responsible parties, deadlines, corrective actions, and final resolutions.
  • Reconcile discrepancies among ERP, PLM, warehouse, inventory, financial, digital catalog, retail, reporting, and departmental records.
  • Establish and enforce data standards, naming conventions, required fields, validation rules, approval requirements, ownership expectations, and change-control procedures.
  • Ensure employees and departments follow approved procedures for creating, modifying, approving, and maintaining company data.
  • Maintain organized documentation of data changes, approvals, testing results, open issues, corrections, and escalations.
  • Communicate directly with employees, executives, technical teams, and implementation partners to obtain missing information and resolve discrepancies.
  • Follow up persistently, challenge inconsistent information, and escalate unresolved issues, repeated noncompliance, and material risks.
  • Pause data uploads, migrations, transactions, reporting, system changes, or affected workflows when required information is incomplete, inaccurate, unapproved, or places data integrity at risk.
  • Clearly communicate why a process has been paused, what must be corrected, who is responsible, and what is required before work may resume.
  • Conduct recurring audits and report on error rates, outstanding corrections, recurring issues, departmental compliance, and business risks.
  • Investigate root causes and downstream impacts of data errors and recommend sustainable corrective actions.
  • Create and maintain standard operating procedures, data dictionaries, process documentation, user instructions, and training materials.
  • Support reporting, analytics, automation, and AI initiatives by ensuring that underlying information is structured, accurate, complete, and reliable.


Experience & Skills

  • Fashion, apparel, consumer products, wholesale, retail, or other SKU-intensive experience strongly preferred.
  • ERP or PLM implementation, migration, or optimization experience strongly preferred.
  • Advanced Microsoft Excel skills and experience managing large datasets.
  • Working knowledge of ERP, PLM, inventory management, business intelligence, or related platforms.
  • Exceptional organization, attention to detail, process compliance, and documentation skills.
  • Confidence communicating with and holding accountable employees and leaders at every level.
  • Willingness to challenge inconsistencies, escalate concerns, and stop affected processes when necessary.
  • Strong analytical, root-cause problem-solving, written, and verbal communication skills.
  • Ability to collaborate cross-functionally while maintaining firm accountability and discretion.


Requirements Added by the Job Poster

  • 2-5 yearsโ€™ experience data integrity, master data management, inventory control, retail operations, systems implementation, or a related field.
  • Commute to this job's location
  • Working in an onsite setting
  • Authorized to work in the United States
  • Must be authorized to work in the United States without current or future sponsorship requirements.


Featured Benefits

  • Medical, Dental & Vision Insurance
  • 401(k)
  • Flexible Spending Accounts (FSA)
  • Employee Assistance Program (EAP)
  • Commuter Benefits
  • Employee Discount Programs
  • Additional Voluntary Benefits, Wellness Programs, and Employee Perks Available
  • Hybrid work options vary by department and positions. '


Salary Disclosure

Majesty Brands is committed to offering a compensation package that reflects the qualifications and experience of the individual. The salary for this position is competitive and commensurate with experience. While the posted salary range is $70,000k-$100,000k, we recognize the value of exceptional talent and are open to negotiation for the right candidate.


Equal Opportunity Employer

Majesty Brands is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other status protected by law.


This position is classified as FLSA Exempt and is not eligible for overtime pay. The compensation package is paid on a salary basis, reflecting a professional expectation of hours required to fulfill the responsibilities of the role.