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Packaging Engineering Data Specialist

Stellantis
Posted 2 months ago, valid for 11 days
Location

Auburn Hills, MI 48321, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Packaging Engineering Data Specialist is tasked with remediating and maintaining packaging specifications data for a wide range of legacy and new parts, focusing on areas where Extended Producer Responsibility (EPR) and labeling information is incomplete or missing.
  • This role emphasizes transforming fragmented packaging information into structured and auditable data using Microsoft Office 365 tools and low-code platforms.
  • Key responsibilities include cleaning up legacy packaging specifications, documenting detailed attributes, and ensuring compliance with regulatory and market requirements.
  • Candidates must have a Bachelor's degree in a related field and a minimum of 1 year of relevant experience, with a strong proficiency in Microsoft Office 365 and SQL.
  • The position is located in Auburn Hills, MI, and offers a salary of $70,000 to $90,000 per year, depending on experience.

The Packaging Engineering Data Specialist is responsible for remediating, documenting, and maintaining packaging specifications data across a large portfolio of legacy and new parts, including Independent Aftermarket (IAM) and retail-focused part numbers, where required Extended Producer Responsibility (EPR), container, dunnage, and labeling information is incomplete or missing. This role focuses on transforming fragmented or tribal-knowledge-based packaging information into accurate, structured, and auditable data using Microsoft Office 365 tools, low-code platforms and packaging systems. The position supports regulatory compliance, retail readiness, and long-term packaging data governance to enable controlled expansion into IAM and consumer-facing channels. 

Key Responsibilities:

  • Clean up and remediate legacy packaging specifications with missing or incomplete EPR, container, and dunnage data 
  • Document detailed packaging attributes to support IAM, retail, and consumer-facing requirements 
  • Ensure packaging specifications contain the data required to support regulatory, labeling, and channel compliance 
  • Support creation and documentation of IAM and retail-specific packaging specifications where required 
  • Build and maintain structured packaging documentation systems using Microsoft Office 365 tools (e.g., SharePoint, Power Apps, Excel) 
  • Work with Packaging Engineering, Regulatory, Sales, and Marketing interface roles to ensure packaging data supports intended markets 
  • Validate completeness and traceability of packaging data prior to downstream use or approval 
  • Identify data gaps, risks, and inconsistencies that could impact compliance or market expansion 

Location: 

  • Auburn Hills, MI 
  • On-site role 
  • Potential travel to suppliers, vendors, or other Stellantis locations 
Qualifications

Basic Qualifications 

  • Bachelor’s degree in Engineering, Data Management, Supply Chain, IT, or related technical field  
  • Minimum of 1 year of relevant experience 
  • Working knowledge of SQL (writing queries to extract, join, and filter data from relational databases)
  • Experience working with structured data, specifications, or technical documentation 
  • Strong proficiency within a Microsoft Office 365 environment (Excel, SharePoint, Teams, related tools) 
  • Ability to analyze incomplete or inconsistent technical data and drive it to closure 
  • Strong attention to detail and documentation discipline 

Preferred Qualifications 

  • Experience supporting IAM, retail, or consumer-facing packaging initiatives 
  • Experience with data visualization and BI tools, such as Power BI, Qlik (Sense/View), Tableau, or equivalent platforms
  • Familiarity with regulatory, labeling, and compliance considerations for packaged products 
  • Experience using SharePoint, Power Apps, Access, or similar low-code platforms 
  • Experience supporting data cleanup, standardization, or legacy system remediation 
  • Ability to translate regulatory or channel requirements into structured data fields within specifications 



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