Job Description

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