MDM (Master Data Management) Parts Specialist

Primary Responsibilities

• Data Management & Maintenance:

  • Ensure accurate and timely creation, maintenance, and updates of part master data in the MDM system.
  • Validate part specifications, classifications, and categorization to ensure data integrity.
  • Maintain consistency across different systems (ERP, PLM, etc.) by updating and reconciling part data.

• Data Governance:

  • Implement and follow data governance policies and procedures to ensure data accuracy and compliance.
  • Support data quality initiatives and collaborate with business units to ensure adherence to data standards.
  • Identify and resolve data discrepancies or inconsistencies, ensuring alignment with organizational standards.

• Collaboration & Support:

  • Act as a liaison between various departments to resolve issues related to part master data.
  • Work closely with the IT team to enhance the functionality of the MDM system and ensure the smooth integration of part data across platforms.
  • Provide user support and training on MDM tools and processes to internal stakeholders.

• Process Optimization & Improvement:

  • Identify opportunities for process improvements to increase the efficiency of master data management.
  • Develop and maintain standard operating procedures (SOPs) for data handling and entry.
  • Recommend best practices for MDM processes to reduce errors and improve data accuracy.

• Reporting & Analytics:

  • Generate and distribute regular reports related to part data quality, completeness, and accuracy.
  • Analyze data trends and provide insights to the business to support decision-making and strategic planning.
  • Monitor key performance indicators (KPIs) related to master data and track progress toward data quality goals.

• Cross-functional Collaboration:

  • Work closely with procurement and supply chain teams to understand part data requirements and incorporate them into MDM processes.
  • Collaborate on the classification and standardization of parts to ensure consistency and ease of use in operational processes.

• Data Integration & System Support:

  • Support integration of new systems and applications with the MDM system, ensuring part data is seamlessly transferred.
  • Participate in system upgrades, migrations, and data cleansing projects related to master part data.

Why EquipmentShare?

Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.

We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.

Skills & Qualifications

• Experience:

  • At least 0-2 years of experience in Master Data Management, Supply Chain, Inventory Management, or a related field.
  • Experience with MDM systems and tools (e.g., SAP, Oracle, Informatica, or similar platforms).
  • Knowledge of parts classification, categorization, and standardization processes.
  • Familiarity with data governance principles and data quality management.

• Technical Skills:

  • Proficient in MS Office Suite (Excel, Word, PowerPoint) and data analysis tools.
  • Experience with ERP systems and Product Lifecycle Management (PLM) systems.
  • Familiarity with data integration and database management.

• Analytical Skills: Strong problem-solving abilities with a keen eye for detail and data accuracy.

• Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively across departments.

• Organizational Skills: Ability to manage multiple priorities, meet deadlines, and work in a fast-paced environment.

Preferred Skills & Qualifications

• Certification in MDM or Data Governance (e.g., DGI, CDMP) is a plus.
• Knowledge of supply chain and inventory management processes.
• Experience with automated data validation and cleansing tools.