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Product Data Catalog Lead

Alliant Power

$80,000 - $95,000
Aug 15, 2025
Windsor, WI, US
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Alliant Power is looking to improve the accuracy, completeness, standardization, and syndication of its product catalog, ensuring data aligns with industry standards like PIES and ACES, and is effectively communicated to downstream systems and customers.

Requirements

  • Working knowledge of aftermarket catalog and content best practices and industry standards within (PIES, PAdb, ACES, VCdb, QDB) preferred.
  • Experience working with PIMS or Catalog management systems is preferred
  • strong ability to work within Microsoft excel.
  • Automotive part and vehicle systems knowledge and how they look/interact is preferred.
  • Microsoft Skills
  • Computer Skills

Responsibilities

  • Support and lead cataloging process for Alliant Power products and key areas of focus to support on time delivery of NPI’s, enhancement and build out of existing products for integrity and accuracy.
  • Develop and enforce standards for product data in alignment with ACES & PIES standards as well as for products that do not fit within the ACES and PIES standards.
  • Manage catalog analyst team to ensure onboarding and enrichment of product data from internal and external partners.
  • Ensures timely syndication and communication of product data catalog downstream to Cataloging Systems, Alliant Power’s Systems such as ERP System, Website as well as Alliant Powers customers.
  • Trains and mentor Cataloging analysts or data entry specialists.
  • Stay up-to-date with industry trends, competitor activities and technological advancements to provide recommendations to senior management
  • Continually work on developing and implementing net productivity improvements that enhance overall cataloging process leading to hard or soft savings.

Other

  • Develops and tracks KPI’s and metrics to measure teams’ performance that align with company strategies and areas of focus.
  • Acts as the liaison to industry data partners, such as the Auto Care Industry, Data aggregators and customers.
  • Attendance and dependability
  • Communication/listening
  • Relationships with others