Product Information Management Intern

Genuine Parts Company•Birmingham, AL

About The Position

The Product Information Management (PIM) Intern will support the Digital and Product teams in maintaining accurate, complete, and high-quality product data within the company’s PIM system. This internship provides hands-on experience in product data governance, data enrichment, and cross-functional collaboration with merchandising, marketing, supply chain, and IT teams. This role is ideal for a student or recent graduate interested in eCommerce, data management, digital operations, or product content strategy.

Requirements

Currently pursuing or recently completed a degree in:
Business
Marketing
Information Systems
Data Analytics
Supply Chain
Or a related field
Strong attention to detail and organizational skills
Proficiency in Microsoft Excel (e.g., sorting, filtering, basic formulas)
Strong written and verbal communication skills
Ability to manage multiple tasks and meet deadlines
Analytical mindset
Detail-oriented with a focus on accuracy
Process-driven thinking
Strong collaboration skills
Problem-solving ability
Willingness to learn new systems and tools

Nice To Haves

Familiarity with PIM, ERP, or eCommerce platforms
Basic understanding of product lifecycle management
Experience working with large datasets
Knowledge of data quality principles

Responsibilities

Assist in maintaining and updating product information within the PIM system
Support data enrichment activities including:
Product descriptions
Technical specifications
Images and digital assets
Categorization and attributes
Perform data quality checks to ensure accuracy, completeness, and consistency
Identify and resolve data discrepancies across systems (ERP, PIM, eCommerce platform)
Support new product launches by ensuring product content is complete and published on time
Assist in standardizing product taxonomy and attribute structures
Collaborate with cross-functional teams to gather and validate product information
Document processes and help improve data governance practices
Generate basic reports on product data quality and completeness