Data Management Buyer

AISIN World Corp. of AmericaNorthville Charter Township, MI
Onsite

About The Position

The Data Management Buyer (Raw Material & MRO Support) is responsible for developing, structuring, and maintaining data management systems to support AISIN CPS (Controlled Purchasing System) for Raw Material and to integrate MRO data across all AISIN North American plants. This role involves designing data tables, building a centralized MRO data management structure, developing automated data import processes, and establishing data normalization logic. The position also focuses on system integration, process automation, strategic data management development, and collaboration with various departments to ensure data integrity and support business objectives.

Requirements

  • 2–5 years of experience in data system design and integration.
  • Strong understanding of relational data structures (SQL, Access, or similar).
  • Experience consolidating data from ERP or plant-level systems.
  • Strong analytical ability and attention to data integrity.
  • Ability to work cross-functionally with Purchasing, Finance, and Engineering.
  • Advanced proficiency in Excel and data tools (Power Query, Access; Power BI a plus).
  • Bachelor’s degree in data management, Computer Science, or related field.
  • Must be able to operate a personal computer, telephone, and other office equipment.
  • Must perform job duties onsite, when necessary, except those duties that are customarily or by their nature performed offsite (for example, offsite customer visits).
  • Must be able to work effectively in a fast-paced environment.
  • Must be able to work on multiple assignments at once, and complete assignments within deadline and budget (if applicable) with satisfactory quality.
  • Must be able to operate as an effective team member.
  • Must be committed to a high standard of safety and be willing and able to comply with all safety laws and all company safety policies.
  • Must maintain an acceptable attendance record.

Nice To Haves

  • Experience in automotive manufacturing or supply chain.
  • Familiarity with cloud-based data environments.
  • Knowledge of data governance and master-data management concepts.
  • Experience working with Japanese-based organizations is a plus.

Responsibilities

  • Develop, structure, and maintain data management systems to support AISIN CPS (Controlled Purchasing System) for Raw Material and to integrate MRO data across all AISIN North American plants.
  • Design data tables to map raw material grades to select Tier-2 suppliers under the AISIN CPS program.
  • Build a centralized MRO data management structure, consolidating items by manufacturer numbers and plant-specific details, progressing toward unified AISIN MRO part numbering by sub-commodity type.
  • Develop automated data import processes to merge information from ERP systems, plant spreadsheets, and supplier data files.
  • Establish data normalization and cross-reference logic to ensure high data integrity and eliminate redundancy.
  • Collaborate with Purchasing, Finance, and Engineering to connect the data management system with existing cost-tracking, RFQ, and tariff-management workflows.
  • Define version control and revision history methods for supplier and part information.
  • Automate data validation (duplicate checks, completeness verification, and formatting consistency).
  • Define data architecture and indexing strategies for efficient search and reporting across multi-plant data sets.
  • Establish data governance: user access standards, backup routines, and security controls.
  • Work with Purchasing, Material Engineering, Design, and Plants to maintain structured update processes and data ownership.
  • Support development of cost benchmarking and predictive analysis capabilities.
  • Support Raw Material, MRO, and Commodity Teams with data insights for supplier mapping, cost reduction, and risk assessment.
  • Create clear documentation (data dictionary, process flows).
  • Participate in cross-functional workshops to improve reporting usability.
  • Train users on data entry, search, reporting, and interpretation.
  • Other tasks and duties as assigned.
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