Marketing Data Manager Job at The Tranzonic Companies, Cleveland, OH

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  • The Tranzonic Companies
  • Cleveland, OH

Job Description

Company Overview:

The Tranzonic Companies is the hub for a strategic collection of manufacturing and sales companies that lead the way in multiple categories — from personal care and protection to textiles, from cleaning products to contamination control — to empower its distributor partners into the future. Their cohesive approach promotes operational efficiency and fuels innovation, while equipping its varied businesses to tackle the toughest challenges across industrial and manufacturing, healthcare and life sciences, food service, hospitality, transportation, and many other dynamic market segments. Tranzonic’s rapid growth, both organic and via acquisition, is powered by its team of driven, innovative problem-solvers and a culture of integrity and respect.

Position Summary:

We are seeking a highly organized and detail-oriented Marketing Data Manager to oversee and maintain the product information for a catalog of 100,000+ SKUs. This role is critical for ensuring the accuracy, completeness, and optimization of product data across various platforms. The ideal candidate will have strong experience in managing large-scale product databases, ensuring data consistency, and syndicating data to customer catalogs and marketplaces such as Amazon, Walmart, and others.

Essential Functions and Responsibilities:

  • Manage and maintain product information for 100,000+ SKUs across multiple systems (e.g., PIM, ERP, e-commerce platforms).
  • Ensure product data is accurate, complete, and aligned with company standards, including descriptions, specifications, images, pricing, and categorization.
  • Develop and implement processes for regular data audits, updates, and quality control.
  • Standardize product naming conventions and attributes to enhance data usability and searchability.
  • Syndicate product data to customer catalogs, third-party marketplaces (e.g., Amazon, Walmart, eBay), and other external platforms.
  • Ensure compliance with each marketplace's unique data requirements, standards, and formats.
  • Monitor product listings for accuracy, availability, and adherence to platform guidelines.
  • Troubleshoot and resolve issues related to data syndication and integration.
  • Work closely with the marketing, sales, e-commerce, and supply chain teams to ensure product data meets their specific needs.
  • Coordinate with vendors and suppliers to obtain accurate and up-to-date product information.
  • Act as the central point of contact for all product-related data inquiries and issues.
  • Administer and optimize Product Information Management (PIM) systems and tools.
  • Identify and implement improvements to existing systems and workflows to handle large data volumes efficiently.
  • Monitor and improve the performance of integrations between PIM, ERP, and e-commerce platforms.
  • Generate reports on product data quality, completeness, and performance.
  • Analyze trends in product data usage and recommend strategies to improve customer experience and operational efficiency.

Requirements:

  • Bachelor’s degree in Business, Information Management, Data Science, or a related field.
  • Must be available to work on-site in either Cleveland, OH or Philadelphia, PA.
  • 5+ years of experience in product data management, preferably handling large-scale catalogs (50,000+ SKUs).
  • Experience with PIM systems (e.g., Akeneo, Salsify, Stibo), ERP systems, and e-commerce platforms (e.g., Shopify, Magento, BigCommerce).
  • Experience with Power BI.
  • Exceptional attention to detail with a focus on data accuracy and quality.
  • Strong organizational and project management skills.
  • Proficiency in Excel, data management tools, and SQL (preferred).
  • Familiarity with digital marketing principles, SEO, and taxonomy optimization.
  • Excellent communication and stakeholder management skills.
  • Experience working in retail, e-commerce, or a similar high-SKU environment.
  • Knowledge of APIs and data integration processes.
  • Experience with data governance and compliance standards.

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