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Master Data Management Intern Jobs (NOW HIRING)

As the Director - Master Data management, you will be responsible for leading a regional, cross-functional team ensuring the integrity of Wesco Master Data and supporting processes. You will be ...

The Master Data Management Analyst collaborates with Information Technology Services (ITS), Operational Managers, and external vendors to ensure consistent data management and accurate information ...

They are seeking an experienced Director of Master Data Management to lead enterprise-wide MDM initiatives, focusing on Customer and Supplier domains while driving strategic data initiatives that ...

Engineer will provide development support for Test Master Data Management products - * Order Entry Reference Database (OERDB), Quest Test Information Manager (QTIM) and TestCenter (online test menu ...

Experience with SAP, SAP MDG, or other Master Data Management platforms. * Experience supporting ERP implementations, data transformation, or business process improvement initiatives. * Six Sigma ...

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

As of Jul 28, 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 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 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 the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer opportunities in areas such as audit, consulting, advisory, and tax, often requiring strong analytical skills and relevant coursework. Internships at these firms are highly competitive and provide valuable experience for careers in finance, consulting, and data management roles like Master Data Management Interns.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics can qualify you for roles such as data analyst, data scientist, business intelligence analyst, or data management intern. These positions typically require skills in statistical analysis, data visualization, and tools like SQL, Python, or R, and often involve working with large datasets to support decision-making.

What is a data management intern?

A data management intern is a role focused on supporting the organization, accuracy, and maintenance of data within a company. They often work with data tools and databases, assisting with data entry, validation, and reporting under supervision, gaining experience in data governance and management processes.

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.

What is a master data management job?

A master data management intern supports the organization by helping to organize, maintain, and ensure the accuracy of core business data across systems. The role often involves working with data governance tools, data quality processes, and collaborating with IT and business teams to improve data consistency and reliability.
What cities are hiring for Master Data Management Intern jobs? Cities with the most Master Data Management Intern job openings:
What are the most commonly searched types of Master Data Management jobs? The most popular types of Master Data Management jobs are:
What states have the most Master Data Management Intern jobs? States with the most job openings for Master Data Management Intern jobs include:
Lead, Master Data Management

Lead, Master Data Management

Springs Window Fashions

Middleton, WI • On-site

Full-time

Posted 22 days ago


Springs Window Fashions rating

6.7

Company rating: 6.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Springs Window Fashions is North America’s premier window covering company, dedicated to creating the Best Experience for all stakeholders. The Lead, Master Data Management will oversee enterprise MDM initiatives, balancing technical execution with functional leadership to design and enhance scalable master data solutions across business processes.
Responsibilities:
• Serve as a functional lead on MDM initiatives, guiding solution design, process definition, stewardship practices, and alignment with MDM standards and governance expectations.
• Mentor and guide MDM Application Developers, MDM Analysts, and business data stewards, supporting skill development, knowledge sharing, and best practice adoption.
• Partner with business stakeholders, Data Engineering, BI & Analytics, Financial Systems, and other IT counterparts to translate master data needs into scalable, governed solutions.
• Coordinate cross-functional MDM workstreams, helping prioritize issues, resolve data and process challenges, and maintain continuity across systems and domains.
• Serve as a backup to the Manager, Master Data Management, or as the primary MDM functional lead when needed, supporting stakeholder engagement, initiative leadership, and MDM delivery continuity.
• Design, develop, and enhance master data solutions, workflows, data models, hierarchies, validation rules, and supporting processes across key enterprise data domains.
• Support the evaluation, selection, and implementation of MDM platforms and tools to enable scalable and sustainable master data management capabilities.
• Ensure MDM solutions support multiple data domains, including customer, product, vendor, financial, and other critical enterprise data.
• Provide technical leadership in defining data models, hierarchies, solution workflows, and supporting structures that enable efficient, governed master data management.
• Collaborate with Data Engineering & Architecture teams to align MDM solutions with enterprise data platforms, integration patterns, and downstream analytics needs.
• Support the definition and adoption of master data standards, ownership models, stewardship workflows, and lifecycle management processes.
• Partner with business data stewards to define data quality rules, validation logic, approval workflows, and maintenance processes.
• Develop and monitor data quality standards, controls, and metrics to improve master data accuracy and consistency.
• Drive root cause analysis and resolution of data quality issues across systems.
• Lead continuous improvement of master data processes, workflows, and controls.
• Collaborate with the Data Warehousing & Integration (DAWGs) team to ensure master data is consistently integrated across enterprise systems and analytics platforms.
• Partner with BI & Analytics teams to support trusted master data for reporting, dashboards, certified datasets, and decision-making.
• Work closely with Financial Systems, Pricing, ERP, and operational teams to align master data structures with business processes and system requirements.
• Support integration of multiple data sources and applications to enable reliable, consistent master data flows across enterprise platforms.
• Contribute to documentation of data flows, source-to-target mappings, data definitions, and integration patterns that support enterprise data consistency.
• Oversee support and drive improvement of MDM applications and processes, including issue resolution, enhancements, performance optimization, and workflow efficiency.
• Ensure appropriate testing and release management practices are followed for MDM solutions to support reliable delivery and operational continuity.
• Maintain documentation of MDM processes, solution designs, data structures, standards, and support procedures to enable knowledge transfer and consistent execution.
• Track solution effectiveness and identify opportunities to mature MDM capabilities toward governed, decentralized maintenance, improved data quality, and scalable stewardship.
Qualifications:
Required:
• 4+ years of progressive experience in master data management, data governance, enterprise application development, or related enterprise data roles.
• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Management, Data Science, Business Analytics, or a related field required.
• Professional certifications in data management, data governance, MDM platforms, business analysis, cloud platforms, or related technologies (e.g., Informatica, Microsoft Azure, AWS, or similar) are highly valued.
• Experience translating business requirements into scalable technical solutions, data processes, workflows, validation rules, and data quality controls.
• Experience designing, developing, supporting, or improving master data solutions, data models, workflows, or enterprise data applications.
• Demonstrated commitment to ongoing professional development through training, certifications, conferences, and industry engagement.
• Strong proficiency in SQL and relational database concepts, with experience working with complex, multi-source datasets.
• Familiarity with data governance practices, data quality management, stewardship workflows, and master data lifecycle processes.
• Demonstrated ability to analyze complex data and process issues, perform root cause analysis, and develop practical solutions that improve data accuracy and reliability.
• Experience collaborating across business and technical teams to deliver data-driven solutions aligned with operational, financial, analytical, or enterprise system needs.
• Ability to provide guidance, influence stakeholders, and support alignment across cross-functional teams without relying solely on formal authority.
• Strong communication skills with the ability to explain technical and data concepts to technical and non-technical stakeholders.
Preferred:
• Contribution to MDM or data governance initiatives in an enterprise environment.
• Familiarity with MDM platforms or tools such as Informatica MDM, Reltio, Profisee, SAP MDG, Microsoft-based solutions, or similar technologies.
• Working knowledge of multiple master data domains such as customer, product, vendor, financial, location, or organizational data.
• Background supporting ERP, financial systems, pricing systems, product configuration, or other complex enterprise data structures.
• Exposure to manufacturing, consumer products, or similarly complex environments with configurable products, multi-system data flows, or distributed data ownership.
• Demonstrated ability to mentor technical or business team members, lead workstreams, or act as a lead contributor on data-related initiatives.
Company:
Springs Window Fashions supplies leading retailers and distributors with a complete line of blinds, shades, specialty treatments. Founded in 1939, the company is headquartered in Middleton, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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