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Master Data Management Jobs (NOW HIRING)

HUB

Master Data Management Engineer

Atlanta, GA · On-site

$110K - $132K/yr

HUB International is seeking a Master Data Management Engineer, on our Enterprise Data & Analytics team. They will primarily be responsible for the metadata management and engineering of the MDM ...

Stellar IT Group

Master Data Manager

Saint Louis, MO · On-site

Responsibilites Master Data Management * Oversee the establishment and maintenance of master data management policies and procedures. * Develop and enforce data standards, ensuring data integrity and ...

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How much do master data management jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for master data management in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Master Data Management position, and why are they important?

To thrive in Master Data Management, you need expertise in data governance, data modeling, and data quality assurance, often supported by a degree in information systems or computer science. Familiarity with MDM tools such as Informatica, SAP Master Data Governance, or IBM InfoSphere, as well as relevant certifications, is highly beneficial. Attention to detail, problem-solving skills, and strong communication are valuable soft skills for success in this position. These capabilities are crucial because they ensure the integrity, consistency, and reliability of an organization's critical business data.

What is a Master Data Management job?

A Master Data Management (MDM) job involves overseeing the organization's critical data to ensure consistency, accuracy, and integrity across various systems. MDM professionals establish data governance policies, standardize data processes, and integrate information from multiple sources to create a single source of truth. Their role often includes data quality management, deduplication, and compliance with regulatory standards. By maintaining clean and reliable master data, they help organizations make informed business decisions and improve operational efficiency.

What is the role of master data management?

Master Data Management (MDM) is a discipline that involves creating and maintaining a single, consistent view of key business data across an organization. It ensures data accuracy, consistency, and integrity, supporting better decision-making and operational efficiency. MDM professionals often work with data governance, data quality tools, and enterprise systems to implement these processes.

What are some typical challenges faced in a Master Data Management role?

Master Data Management professionals often face challenges related to consolidating and standardizing data from disparate sources across the organization. They may need to resolve conflicts or duplicates between systems and enforce data governance policies across multiple departments. Collaborating with business stakeholders to ensure alignment on data definitions and usage standards is also a key part of the role. Successfully overcoming these challenges is essential for maintaining data accuracy and supporting business decision-making processes.

Is MDM a good career?

Master Data Management (MDM) is a growing field that involves maintaining and ensuring the accuracy of an organization’s core data assets. It requires skills in data governance, data quality, and familiarity with tools like Informatica or SAP. Careers in MDM can offer stability and opportunities for advancement in data-driven industries.

What are the 4 types of MDM?

Master Data Management (MDM) typically includes four main types: Conformed MDM, which standardizes data across systems; Customer MDM, focused on customer data; Product MDM, managing product information; and Hierarchy MDM, which organizes data relationships. These types help organizations ensure data consistency, accuracy, and integrity across various business processes.

Is MDM outdated?

Master Data Management (MDM) remains a vital function in organizations for ensuring data consistency and accuracy across systems. While new data technologies like data lakes and cloud platforms have emerged, MDM practices are evolving rather than becoming obsolete, often integrating with modern tools and automation to improve data governance.
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Master Data Management jobs near you
Infographic showing various Master Data Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.
Lead, Master Data Management

Lead, Master Data Management

Springs Window Fashions

Middleton, WI • On-site

$171K/yr

Other

Posted 16 days ago

Springs Window Fashions rating

5.3

Company rating: 5.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Description
The Best Experience Company
Our tagline is "The Best Experience Company." More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America's premier window covering company, we're committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you're excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you!
Position Overview
The Lead, Master Data Management (MDM) reports to the Director, Financial Systems & Analytics and serves as a lead contributor on enterprise MDM initiatives. This role balances hands-on technical execution with functional leadership and cross-functional collaboration, supporting the design, development, governance, and continuous improvement of scalable master data solutions across enterprise systems and business processes.
Key Responsibilities
The Manager, Master Data Management reports to the Director, Financial Systems & Analytics and leads the development and evolution of enterprise master data solutions and capabilities in close partnership with Data Engineering (DAWGs), BI & Analytics, and business teams. This role balances hands-on technical leadership with strategic planning and cross-functional collaboration, overseeing the design, implementation, and governance of scalable MDM processes, data models, and supporting platforms.
Key responsibilities for this position include:
Functional Leadership & Collaboration
  • 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.

MDM Solution Design & Process Enablement
  • 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.

Master Data Governance, Quality & Stewardship
  • 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.

Enterprise Data Integration & Cross-Functional Alignment
  • 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.

MDM Capability Development & Continuous Improvement
  • 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.

Requirements
Education and Experience
  • 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.
  • Master's degree in a related field, such as Information Systems, Data Science, Business Analytics, or MBA, preferred but not 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.

Knowledge, Skills, and Abilities
Required
  • 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.

How We Work to Deliver a Best Experience: Our Culture
  • Our Core Value: We do the right thing, always
  • Our Seven Cultural Behaviors
  • Empowerment - We trust our people.
  • Ownership - We take 100% responsibility for our roles actions, and results.
  • Leadership - We all lead by example and talk direct with respect (DWR).
  • One Team - We are One Springs Team.
  • Customer First - We consider our customers' needs before every decision.
  • Continuous Innovation - We are constantly learning, innovating, and improving.
  • Speed - We define priorities and operate with a sense of urgency and agility.

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