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Product Data Management Jobs (NOW HIRING)

NEFCO

Product Data Operations Analyst

East Hartford, CT · On-site

$65K - $75K/yr

Detail-oriented, organized, and able to manage competing priorities. * Clear communicator with both ... Product data is more complete, accurate, and easier for teams to use. * Data quality issues are ...

Hawkins

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

Anduril Industries

Product Data Engineer

Irvine, CA · On-site

ABOUT THE TEAM Anduril is seeking a Product Data Engineer to join our Configuration Management team. As a Product Data Engineer you will work closely with the leaders of critical Anduril programs to ...

Anduril Industries

Product Data Engineer

Costa Mesa, CA · On-site

ABOUT THE TEAM Anduril is seeking a Product Data Engineer to join our Configuration Management team. As a Product Data Engineer you will work closely with the leaders of critical Anduril programs to ...

Aquent

Product Information Analyst 1

Beaverton, OR · On-site

$23.40 - $26/hr

Data Business Integration / Product Data Management About the Role We are seeking a detail-oriented Product Information Analyst I to support a global product data organization within a fast-paced ...

HD Supply

Product Data Specialist

Atlanta, GA · On-site

Manage the creation and maintenance of material data master (MDM) by collecting required ... Collaborate cross-functionally to analyze product and operational data to maximize output.

Anduril Industries

Product Data Engineer

Costa Mesa, CA · On-site

ABOUT THE TEAM Anduril is seeking a Product Data Engineer to join our Configuration Management team. As a Product Data Engineer you will work closely with the leaders of critical Anduril programs to ...

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$51.5K

$159.4K

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How much do product data management jobs pay per year?

As of Jul 7, 2026, the average yearly pay for 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 is a Product Data Management job?

A Product Data Management (PDM) job involves organizing, maintaining, and optimizing product-related data within a company. This role ensures that product data is accurate, consistent, and accessible across multiple departments, such as marketing, sales, and engineering. PDM professionals often work with Product Information Management (PIM) systems, databases, and workflows to streamline product data processes. Their work helps improve product launches, customer experience, and operational efficiency.

What are the key skills and qualifications needed to thrive in the Product Data Management position, and why are they important?

To thrive in Product Data Management, you need a solid understanding of data governance, product lifecycle processes, and strong analytical skills, often supported by a degree in business, engineering, or information systems. Experience with Product Information Management (PIM) systems, ERP software, data analytics tools, and relevant certifications such as Certified Product Manager (CPM) or data management credentials is highly valued. Attention to detail, organization, and effective cross-functional communication are critical soft skills in this role. These competencies ensure the accuracy, consistency, and accessibility of product data, driving efficient product launches and decision-making across the organization.

Are PMs in high demand?

Product Data Management (PDM) roles are increasingly in demand as companies focus on data accuracy, product lifecycle management, and digital transformation. Skills in data analysis, software tools, and cross-functional collaboration enhance job prospects in this field, which is often found in manufacturing, technology, and retail industries.

What is the role of product data management?

Product Data Management (PDM) involves organizing, storing, and maintaining product information such as specifications, design files, and documentation to ensure data accuracy and accessibility. It supports product development, reduces errors, and improves collaboration across teams using tools like PLM systems. PDM professionals often work closely with engineering, manufacturing, and quality assurance departments.

What is product data management?

Product Data Management (PDM) is a discipline that involves organizing, storing, and maintaining all data related to a product throughout its lifecycle. It typically includes managing specifications, design files, and documentation using specialized software tools, supporting collaboration among engineering, manufacturing, and marketing teams.

What does a product data manager do?

A product data manager oversees the collection, organization, and maintenance of product information across systems to ensure accuracy and consistency. They collaborate with cross-functional teams, utilize data management tools, and often require knowledge of data standards and quality control processes to support product development and marketing efforts.

What are some typical daily responsibilities for someone working in Product Data Management?

Professionals in Product Data Management are responsible for creating, maintaining, and optimizing product data within databases and information systems. Day-to-day tasks often include updating product attributes, ensuring data accuracy and quality, collaborating with teams across marketing, supply chain, and engineering, and troubleshooting data discrepancies. They may also participate in new product launches by coordinating information flow and managing data migrations between systems. This role often requires frequent communication with diverse stakeholders to address data needs and uphold best practices. By maintaining high data standards, Product Data Management professionals play a vital part in streamlining operations and supporting company goals.

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Product Data Management jobs near you
Infographic showing various Product Data Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Product Data Operations Analyst

NEFCO Construction Supply LLC

East Hartford, CT • On-site

$65K - $75K/yr

Other

Posted 7 days ago

Job description

Description

NEFCO is scaling from $1B to $5B, and high-quality product data is foundational to that growth. We are looking for a detail-oriented, technically curious Product Data Operations Analyst to maintain, enrich, and improve product data quality across ERP, PIM, supplier, and analytics systems - while identifying opportunities to automate workflows and strengthen data governance.


What You'll Do 

  • Maintain and enrich product data attributes - descriptions, specs, classifications, images, and identifiers (UNSPSC, GTIN, MPN) - across ERP and PIM systems.
  • Source missing attributes from suppliers, manufacturers, and third-party databases.
  • Support new product onboarding: review, validate, and enrich data before loading into downstream systems.
  • Apply data quality standards and run regular audits to catch gaps, inconsistencies, and duplicates.
  • Build and maintain dashboards tracking data quality KPIs, completeness scores, and enrichment progress.
  • Use SQL, Excel, Power Query, ETL tools, and AI-assisted scripting to automate data prep and validation workflows.
  • Partner with Pricing, Sales, Supply Chain, IT, and Operations to translate business needs into data requirements.
  • Support ERP/PIM improvement initiatives; assist with supplier portals, catalog syndication, and compliance projects.
  • Train end-users on data best practices and self-service tools.




Requirements

Qualifications

  •  Bachelor's degree in business, Information Systems, Data Analytics, or related field (or equivalent experience).
  • 2-4 years in product data, master data, PIM/ERP data management, catalog operations, or a related analytics role.
  • Solid SQL skills and strong Excel proficiency (pivot tables, Power Query, lookups, data validation).
  • Working knowledge of ETL concepts and comfort with scripting, automation, or AI-assisted data tools.
  • Experience with ERP or PIM systems; Epicor Eclipse or Salsify a plus.
  • Detail-oriented, organized, and able to manage competing priorities.
  • Clear communicator with both technical and non-technical stakeholders.
  • Power BI, Tableau, or similar BI tools.
  • Python for data manipulation and automation.
  • Experience with ETL pipelines, APIs, or FTP/SFTP data exchanges.
  • Background in industrial distribution, manufacturing, or wholesale.
  • Exposure to AI-assisted enrichment tools or LLMs for classification and content generation.
  • Familiarity with data governance, taxonomy management, or product classification.


What Success Looks Like

  • Product data is more complete, accurate, and easier for teams to use.
  • Data quality issues are discovered early and resolved through repeatable processes.
  • Manual cleanup is accomplished through automation, ETL workflows, and better source collection.
  • Product onboarding is consistent and less reliant on tribal knowledge.
  • Stakeholders trust the data because standards and ownership are clearly defined.

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