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Master Data Management Jobs in Michigan (NOW HIRING)

TriMas Corporation

Master Data Manager

Bloomfield, MI · On-site

... data management, data governance, ERP master data, or related disciplines, including leadership of cross-functional initiatives. - Hands-on experience designing and operating master data processes ...

R3 Tek

Data Analyst

Detroit, MI

Data management Data quality tools for data profiling, cleansing and standardization Implementing solutions and processes for master data and hierarchy synchronizations Understand methodologies and ...

AISIN World Corp. of America

Be Seen First

Purchasing Data Management Specialist

Northville, MI · On-site

Knowledge of data governance and master-data management concepts. * Experience working with Japanese-based organizations is a plus. Education/Training/Certifications * Bachelor's degree in data ...

E*Pro, Inc.

Data Architect/ BI Architect

Grand Rapids, MI

$61.25 - $78.75/hr

Develop Master Data Management solution * Development of a data strategy and associated polices * Selection of capabilities and systems to meet business information needs. BI Architect: * P&C Domain ...

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$66

How much do master data management jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for master data management in Michigan is $38.65, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $48.17 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, integrity, and consistency, 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.

What are the 4 types of MDM?

Master Data Management (MDM) typically includes four main types: consolidated, registry, coexistence, and centralized. These types differ in how they store, manage, and synchronize master data across systems, and understanding them helps MDM professionals implement effective data governance and integration strategies.

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 to integrate with these tools, making it a relevant skill for data professionals. Staying updated with MDM tools and methodologies is important for effective data governance and quality management.

Is master data management a good career?

Master Data Management (MDM) is a growing field that involves maintaining accurate and consistent core business data across organizations. It requires skills in data governance, data quality, and familiarity with MDM tools, making it a valuable career path with increasing demand in data-driven industries.
What are the most commonly searched types of Master Data Management jobs in Michigan? The most popular types of Master Data Management jobs in Michigan are:
What are popular job titles related to Master Data Management jobs in Michigan? For Master Data Management jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Master Data Management jobs in Michigan look for? The top searched job categories for Master Data Management jobs in Michigan are:
Master Data Management jobs near you

Master Data Manager

Rieke Packaging Systems

Bloomfield Hills, MI • On-site

Other

Posted 14 days ago

Job description

The Master Data Manager will lead TriMas enterprise master datamanagement (MDM) program, ensuring master data is governed, standardized,accurate, and fit for use across ERP and connected business systems. This rolepartners with functional leaders and data owners to define data standards, stewardcritical master data domains (e.g., customer, supplier, material/product,pricing, finance), and drive ongoing data quality improvement to supportbusiness performance, reporting, and ERP process integrity.
EssentialDuties and Responsibilities:
Master DataGovernance:
     - Define and maintain master data policies, standards, and ownership (RACI) across key domains to enable consistent use across ERP and downstream systems.
     - Establish and monitor master data quality KPIs (completeness, accuracy, timeliness, duplication) and lead remediation plans with business data owners.
MDM Strategy& Roadmap:
     - Develop and execute the enterprise master data roadmap aligned to ERP strategy, business priorities, and acquisition integration needs.
     - Lead standardization of master data definitions, hierarchies, naming conventions, and reference data to support reporting, planning, and operational execution.
BusinessPartnership & Data Stewardship:
     - Partner with functional leaders (Operations, Finance, Supply Chain, Sales, Engineering, Quality) to establish data stewardship routines, issue escalation paths, and decision forums.
     - Facilitate cross-functional workshops to resolve data definition conflicts, drive adoption of standards, and support ERP process harmonization.
Master DataOperations & Change Control:
     - Own end-to-end master data processes (create/change/inactivate) including request intake, validation, approval workflow, and auditability across master data domains.
     - Implement controls to prevent duplicates and errors (e.g., validation rules, de-duplication routines, reference data governance) and coordinate periodic cleansing activities.
Tools,Technology & Integration:
     - Partner with ERP and integration teams to define master data requirements, workflows, and controls within ERP and supporting platforms (MDM tools, ETL/integration, reporting).
     - Define data quality monitoring and exception reporting; ensure master data changes are communicated and synchronized across downstream systems and analytics.
Training,Documentation & Enablement:
     - Develop and deliver training for data stewards and business users on master data standards, request processes, and ERP impacts.
     - Maintain a master data dictionary/glossary andSOPs for key domains, including required attributes, hierarchies, and approvalrules.

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