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Weekend Product Data Management Jobs (NOW HIRING)

Kohler

Manager, Product Data Management

Kohler, WI

$122.85K - $191.15K/yr

As the owner of Product Data Management (PDM) strategy and service delivery, this role ensures product data requests are executed seamlessly and consistently, while driving a forward‑looking vision ...

Kohler Co.

Manager, Product Data Management

Kohler, WI · On-site

$122.85K - $191.15K/yr

Lead, mentor, and develop a high-performing team of Product Data Specialists and Analysts, providing coaching, direction, and performance management. * Build a culture of collaboration ...

iHerb

Product Data Management Specialist

Irvine, CA · On-site

Job Summary The Product Data Management Specialist uses strategy and analytics to improve the digital shopping experience via improved product data. This role owns what data is available for each ...

Dover Corporation

Product Data Analyst

Grand Rapids, MI · On-site

Build, update, and manage product data templates for new items, product changes, and channel-specific requirements * Review and validate product descriptions, specifications, attributes, pricing, and ...

Dover Corporation

Product Data Analyst

Grand Rapids, MI · On-site

Build, update, and manage product data templates for new items, product changes, and channel-specific requirements * Review and validate product descriptions, specifications, attributes, pricing, and ...

BatteriesPlus

Product Data Intern

Hartland, WI · On-site

The Product Data Intern supports the accuracy, consistency, and organization of product information across company systems while gaining hands-on experience in data management, retail operations, and ...

JW Winco

Product Data Specialist

New Berlin, WI

$23 - $25/hr

Key Responsibilities Product Data Creation and ERP Management * Mass creation of new item IDs using import tools within Epicor Prophet 21 * New item creation for individual items in Epicor Prophet 21

Hawkins Inc.

Sr. Product Data Specialist

Roseville, MN · On-site

This role will be a part of the Product Data Management group and can provide backup support to other members of that group as needed. DUTIES AND RESPONSIBILITIES: JD Edwards/Data Setup & Maintenance

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Weekend Product Data Management information

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$51.5K

$159.4K

$197K

How much do weekend product data management jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend product data management in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Weekend Product Data Management jobs? Cities with the most Weekend Product Data Management job openings:
What are the most commonly searched types of Product Data Management jobs? The most popular types of Product Data Management jobs are:
What states have the most Weekend Product Data Management jobs? States with the most job openings for Weekend Product Data Management jobs include:
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Weekend Product Data Management jobs near you
Infographic showing various Weekend Product Data Management job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Manager, Product Data Management

Manager, Product Data Management

Kohler Co.

Kohler, WI

Other

Posted 2 days ago

Job description

Location:Onsite, four days per week - Kohler, WI

Opportunity

The GlobalEngineering Manager of Product Data Management plays a pivotal role in enablinginnovation by leading a global team responsible for the integrity, structure,and flow of critical product data. This leader shapes and advances bestinclassdata practices, architectures, and hierarchies that support engineeringexcellence and business decisions worldwide. As the owner of Product DataManagement (PDM) strategy and service delivery, this role ensures product datarequests are executed seamlessly and consistently, while driving a forwardlookingvision that strengthens how product information powers the organization fromconcept through lifecycle.

Leadership & Team Management

  • Lead, mentor, and develop a high-performing team of Product Data Specialists and Analysts, providing coaching, direction, and performance management.
  • Build a culture of collaboration, accountability, and continuous improvement.
  • Recruit, onboard, and develop top engineering talent.
  • Oversee team workload, prioritization, and capacity planning.

Data Strategy & Architecture

  • Define and execute the PDM and Data roadmap(s) in alignment with organizational business objectives.
  • Define and maintain data hierarchy.
  • Ensure data models, structures, and platforms support scalability, performance, and long-term sustainability.
  • Partner with data governance and security teams to enforce data standards, quality, and compliance.
  • Coordinate, load and audit Engineering Data into PDM environment
  • Implement and validate data rules and business logic related to business processes and new plants.
  • Act as an SME and consult on the development solutions / tools to allow the effective capture and control of product data.
  • Manage engineering change process and execution.
  • Provide guidance and education on business rules and processes relating to Product Data Management.
  • Provide quality data audits and reports.
  • Support the creation of new data based on operational teams' requirements.
  • Support IT projects relating to SAP implementation and development.

Technical Execution

  • Manage load and publish product engineering and manufacturing data.
  • Support and Implement Global Projects within ERP
  • Process Bill of Materials for Product Development
  • Process and load critical manufacturing information.
  • Facilitate changes to critical manufacturing information.
  • Support label printing setup and definition.
  • Ensure high availability, data quality, and performance across all data engineering systems.
  • Introduce automation and monitoring to optimize pipeline efficiency and reduce operational overhead.

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