https://jobs.autocare.org Latest Auto Care Jobs Jobs Tue, 12 May 2026 06:01:42 Z https://jobs.autocare.org/jobs/rss/22238418/catalog-data-specialist https://jobs.autocare.org/jobs/rss/22238418/catalog-data-specialist Milan, Ohio, As part of the Data Management team, the Catalog Data Specialist owns the accuracy, completeness, and on-time delivery of aftermarket catalog and product information across internal systems and external customer channels. This role ensures high-quality catalog releases (applications/fitment and product attributes), performs structured quality checks, improves tools and processes to increase speed-to-market, and provides benchmarking and coverage insights that support Category Management decisions in an international environment.   Own regular catalog release cycles and ensure delivery to schedule across defined formats and channels, including internal outputs, customer-specific feeds, and industry-standard exports.   Execute structured QA checks pre- and post-release to ensure compliance with internal and external data guidelines.   Manage catalog update communications, including what changed, business impact, and timing, to product management and commercial stakeholders.   Monitor and improve product and application data quality through routine audits, exception reporting, and coordination of corrective actions with responsible teams.   Maintain integrity of product attributes, taxonomy alignment, and digital assets (such as images and content) across systems and channels.   Perform competitive catalog benchmarking and calculate range coverage metrics to identify gaps and growth opportunities.   Provide actionable insights to Category Management to improve product range attractiveness and prioritization of new applications and product introductions.   Continuously improve tools, queries, and workflows to increase efficiency and reduce lead time.   Support implementation and adoption of new data tools and enhancements to the Product Information Management (PIM) system, including documentation and user training.   Leverage emerging technologies, including AI tools, to improve data quality and speed-to-market.   Manage integration of internal research data with third-party and vendor data, ensuring mapping consistency, traceability, and overall data quality.   Coordinate cross-system data considerations where product information flows between PIM and ERP systems such as SAP.   Apply knowledge of vehicles and vehicle systems to validate fit, form, and function of products.   Identify data gaps and errors beyond missing fields by understanding application logic and product life cycles.   Wed, 29 Apr 2026 09:55:12 -0400