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Master Data Management Intern Jobs (NOW HIRING)

3M

Master Data Management Operations Mgr

Maplewood, MN · On-site +1

$164K - $201K/yr

Master Data Management Operations Manager Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so ...

National Black MBA Association

$164K - $201K/yr

Master Data Management Operations Manager Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so ...

3M

Master Data Management Operations Mgr

Maplewood, MN · On-site

$164K - $201K/yr

Master Data Management Operations Manager Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so ...

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How much do master data management intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for master data management intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a master data management intern do?

A Master Data Management (MDM) Intern assists with organizing, analyzing, and maintaining a company's key data assets, such as customer, product, or supplier information. Their responsibilities may include supporting data quality initiatives, helping to implement data governance policies, and working with various business units to ensure consistent, accurate, and reliable data. MDM interns often learn about data integration, data cleansing, and data stewardship practices while gaining hands-on experience with relevant tools and technologies.

What are some typical projects a master data management intern might work on, and how do these contribute to the organization's data quality goals?

As a Master Data Management (MDM) Intern, you may be involved in projects such as data cleansing, standardizing records, supporting data migration initiatives, or assisting with the integration of data from multiple sources. These tasks are essential in ensuring that the organization's data is accurate, consistent, and easily accessible across departments. Interns typically work closely with IT, business analysts, and data stewards, gaining hands-on experience in collaborative data governance and the use of MDM tools. Contributing to these projects not only builds your technical skills but also helps you understand the importance of high-quality data in driving business decisions.

What are the key skills and qualifications needed to thrive as a master data management intern, and why are they important?

To thrive as a Master Data Management Intern, you need a solid understanding of data analysis, database concepts, and ideally a background in information systems or computer science. Familiarity with data management tools such as SQL, SAP, Informatica, or Microsoft Excel, as well as exposure to data governance frameworks, is often required. Strong attention to detail, problem-solving skills, and effective communication help interns collaborate across teams and ensure data integrity. These skills are crucial for maintaining high-quality master data, supporting business processes, and minimizing errors in organizational decision-making.

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Master Data Management Intern jobs near you

Master Data Management Architect

Houston, TX • On-site

Bray International
Industrial Machinery Manufacturing • 1 - 5K employees
Learn more about Bray Internationalexternal

$60.75 - $78.25/hr

Full-time

Re-posted 8 days ago

Job description

This role plays a critical part in ensuring seamless data integration across ERP, CRM, and Engineering Data Management (PLM/EDM) systems, while defining and governing metadata standards, hierarchies, taxonomies, and data models for master and product data. The ideal candidate will bring deep technical expertise, business process understanding, and leadership experience within the manufacturing sector, particularly around Infor MDM or similar enterprise MDM/PIM tools.

Key Responsibilities

  1. MDM/PIM Strategy and Architecture
  • Define and lead the enterprise MDM/PIM strategy, ensuring alignment with corporate digital transformation goals.
  • Architect scalable MDM/PIM solutions that manage key master data domains: Product, Customer, Vendor, Material, and Location.
  • Drive data integration architecture between MDM/PIM and enterprise systems — including ERP (Infor LN, etc.), CRM (Microsoft Dynamics, etc.), and Engineering Data Management systems (PLM, EPDM).
  • Establish and maintain metadata standards, hierarchies, taxonomies, and data models to support consistent data representation across business functions and systems.
  • Define data flows, synchronization strategies, and governance mechanisms to maintain a single, authoritative source of truth.
  1. Solution Delivery and System Ownership
  • Manage full lifecycle delivery of MDM/PIM initiatives — from requirements gathering through design, development, testing, and deployment.
  • Oversee configuration, customization, and continuous improvement of Infor MDM (or equivalent MDM/PIM system).
  • Ensure high data quality, usability, and accessibility across integrated enterprise platforms.
  • Collaborate with IT and business teams to translate data requirements into technical designs and functional workflows.
  1. Data Governance and Business Process Design
  • Develop and implement data governance frameworks, including ownership models, approval workflows, and data stewardship processes.
  • Define and monitor data quality metrics, and implement corrective actions where needed.
  • Establish end-to-end business processes for the creation, validation, enrichment, and lifecycle management of master and product data.
  • Coordinate with supply chain, engineering, finance, and sales functions to align data processes and ownership.
  1. Integration, Analytics, and Data Enablement
  • Design and implement data integration frameworks connecting MDM/PIM systems to ERP, CRM, and Engineering Data Management tools using APIs, ETL, or middleware platforms (e.g., MuleSoft, Boomi, Infor ION).
  • Partner with BI and Analytics teams to make curated master data available for reporting, dashboards, and data-driven insights.
  • Ensure MDM and PIM architectures support data lineage tracking, metadata management, and downstream analytics platforms (e.g., Power BI, Tableau, Snowflake).
  1. Leadership, Governance, and Change Management
  • Lead cross-functional teams to deliver enterprise MDM/PIM solutions and enhancements.
  • Provide thought leadership in master data governance, taxonomy management, and data architecture best practices.
  • Train and mentor business data stewards, process owners, and technical teams.
  • Drive stakeholder alignment and promote a culture of data accountability and ownership across the organization.

Qualifications & Experience

Education

  • Bachelor’s, or master’s degree in computer science, Information Systems, Data Management, or related discipline.

Required Experience

  • 8+ years of experience in Master Data Management (MDM), Product Information Management (PIM), or Data Architecture
  • Proven success implementing and managing MDM/PIM platforms — preferably Infor MDM, or equivalent.
  • Strong understanding of data integration across ERP, CRM, and PLM/Engineering Data Management systems within a manufacturing environment.
  • Expertise in metadata management, data modeling, hierarchy management, and taxonomy design for master and product data.
  • Experience with data governance frameworks, data quality management, and master data workflows.
  • Familiarity with data integration technologies (APIs, ETL, middleware, EDI, or Infor ION).
  • Solid understanding of product lifecycle data, BOMs, engineering change management, and supply chain master data.

Preferred Skills

  • Experience with Infor CloudSuite, Infor LN, or related ERP environments.
  • Proficiency with SQL, XML, and data profiling tools.
  • Understanding of data privacy, security, and compliance regulations (GDPR, CCPA, etc.).
  • Experience with Agile/Scrum delivery methodologies.
  • Strong analytical, problem-solving, and leadership skills with excellent stakeholder communication.

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