Product Data Specialist

You have excellent oral and written communication skills and a sharp eye for detail. You enjoy working with technology, computers, and data — and you don't mind spending significant time in spreadsheets. You can stay focused and accurate when reviewing and inputting large volumes of product information. Automotive interest or experience is a genuine plus, and a curiosity about how parts work will help you succeed in this role.

• Build and maintain high-quality product data across AAM's internal systems and external platforms, including descriptions, specifications, attributes, and pricing
• Classify products within AAM's unique category/sub-category taxonomy and assign Series designations to product lines
• Create PIES cataloging data and ACES application data using catalog management software
• Define and establish AAM Standard Attributes for product categories across multiple brand lines
• Collect assets and develop enhanced data sets for product lines requiring enrichment
• Assign product keywords and recommend taxonomy additions or changes to improve user experience
• Identify and resolve data discrepancies with strong attention to detail
• Collaborate with cross-functional teams to support catalog updates, e-commerce listings, and reporting needs
• Utilize supplier websites, catalogs, and other resources to research and verify product information
• Assist in process improvements and adopt new tools or systems as needed

• Strong proficiency in Microsoft Excel (pivot tables, formulas, VLOOKUP/XLOOKUP, data validation, etc.)
• Solid computer skills and the ability to learn new software quickly
• Exceptional attention to detail and organizational skills
• Ability to work independently, manage multiple priorities, and meet deadlines
• Excellent verbal and written communication skills
• Willingness to learn and adapt in a fast-paced, data-driven environment

• Automotive knowledge or experience in the aftermarket industry
• Familiarity with PIES and/or ACES data standards
• Experience with catalog management platforms or product information management (PIM) tools
• Experience managing or enriching large product datasets
  
  Comfort using AI tools (such as ChatGPT, Claude, or similar) to support data research, content drafting, or workflow efficiency