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Product Data Syndication Jobs (NOW HIRING)

NEFCO

Product Data Analyst

East Hartford, CT · On-site

The role involves driving automation, improving data quality, and supporting enterprise-wide data ... syndication, and product content distribution projects. • Partner with Pricing, Supply Chain ...

New

ReFibuy, Inc.

Product Manager

Raleigh, NC

Experience with PIM systems, MDM Platforms, or product data syndication tools. * Prior experience at a marketplace, retailer, or commerce platform * Familiarity with AI product development- not ...

ReFiBuy

Product Manager

Raleigh, NC · On-site

Experience with PIM systems, MDM Platforms, or product data syndication tools. * Prior experience at a marketplace, retailer, or commerce platform * Familiarity with AI product development- not ...

ReFibuy, Inc.

Product Manager

Raleigh, NC · On-site

Experience with PIM systems, MDM Platforms, or product data syndication tools. * Prior experience at a marketplace, retailer, or commerce platform * Familiarity with AI product development- not ...

Local Bounti

Commercial Operations Administrator

$55K - $60K/yr

Serve as a key owner of product data across commercial systems and external platforms, including NetSuite, GS1, 1WorldSync , and other data syndication tools * Ensure accuracy and consistency of ...

Connection

Product Data Editor

Merrimack, NH · On-site

$39K - $47K/yr

Acts as data steward for the product information Manages cases with our data providers and syndication partners Performs all other duties or special data projects as assigned Required competencies:

iHerb

eCommerce Product Data Specialist

Irvine, CA · On-site

Work with Product, Engineering and BI to syndicate the metadata availability and usage across ... Work closely with data science and BI to define, create and own the key metrics used to determine ...

Connection

Product Data Editor

Merrimack, NH · On-site +1

$39K - $47K/yr

Product information includes technical specifications, companion products, product images, and ... and syndication partners • Performs all other duties or special data projects as assigned ...

Connection

Product Data Editor

Merrimack, NH

$39K - $47K/yr

Product information includes technical specifications, companion products, product images, and ... syndication partners · Performs all other duties or special data projects as assigned Required ...

Owens Corning

Platform Owner - Stibo

Toledo, OH · On-site

Executing Strategy Platform Leadership for Product Management, Data Syndication, and Integration Design with Platform Owners of Publication, Content Management Systems, ERPs, MES, and CRMs. * Lead ...

New

iHerb

eCommerce Product Data Specialist

Irvine, CA · On-site

$125K - $135K/yr

Work with Product, Engineering and BI to syndicate the metadata availability and usage across ... Use data and experimentation (A/B testing, personalization, and behavioral insights) to ...

EITAcies, Inc.

Product Manager (IT & MDM)

Atlanta, GA

... data management, catalog syndication, integrations, and digital commerce experiences. The ideal candidate combines strong Software Product Management experience with expertise in Product Information ...

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All JobsProduct Data Syndication Jobs

Product Data Syndication information

See salary details

$26.5K

$97.4K

$208K

How much do product data syndication jobs pay per year?

As of Jun 19, 2026, the average yearly pay for product data syndication in the United States is $97,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Product Data Syndication Specialist, and why are they important?

To thrive as a Product Data Syndication Specialist, you need strong analytical skills, attention to detail, and knowledge of product information management (PIM) systems, often complemented by a degree in business, marketing, or information systems. Familiarity with data syndication platforms, e-commerce tools, and experience handling various data formats (like XML, CSV, or JSON) are important technical qualifications. Excellent communication, project management, and problem-solving abilities help you collaborate across teams and manage data flow efficiently. These skills ensure accurate, timely, and consistent distribution of product data across multiple sales channels, which is crucial for maximizing sales and maintaining brand integrity.

What is the difference between Product Data Syndication vs Product Data Coordinator?

AspectProduct Data SyndicationProduct Data Coordinator
Primary RoleDistributing product data across multiple channels and platformsManaging and maintaining product data accuracy within a company
Skills & CertificationsData management, e-commerce platforms, XML/JSON skillsProduct information management, database skills, attention to detail
Work EnvironmentOften remote, working with e-commerce and marketing teamsOffice-based, collaborating with product, marketing, and sales teams
Industry UsageRetail, e-commerce, manufacturingRetail, consumer goods, manufacturing

Product Data Syndication focuses on distributing product information across various sales channels, ensuring consistency and reach. In contrast, a Product Data Coordinator manages and maintains the accuracy of product data within an organization. Both roles require data management skills but serve different functions in the product lifecycle and distribution process.

What are some common challenges faced in a Product Data Syndication role, and how can they be addressed?

Professionals in Product Data Syndication often encounter challenges such as ensuring data consistency across multiple channels, managing frequent updates from suppliers, and adapting to varying data requirements from different retailers. To address these issues, it's important to develop robust data validation processes, leverage automation tools for data transformation, and maintain clear communication with both internal teams and external partners. Staying updated on industry standards and continuously refining data workflows can also help minimize errors and improve overall efficiency.

What are jobs-to-be-done in product management?

In product management, jobs-to-be-done (JTBD) is a framework that focuses on understanding the core tasks or problems customers aim to solve with a product. Product managers use JTBD to identify customer needs, prioritize features, and develop solutions that deliver value by addressing these specific jobs. This approach often involves customer interviews, user research, and analysis of user workflows to inform product development decisions.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, advanced skills in data management, analytics, and leadership, and often involve strategic decision-making at the organizational level.

What is a product data coordinator?

A product data coordinator is responsible for managing and maintaining accurate product information across various platforms and databases. They ensure data consistency, quality, and completeness, often using tools like product information management (PIM) systems and working closely with marketing, sales, and IT teams.

What is product data syndication?

Product data syndication involves distributing product information from a central source to multiple sales channels, such as online marketplaces and retailers. It requires managing data accuracy, formatting, and updates, often using tools like data feeds or APIs to ensure consistent and timely product listings.
Infographic showing various Product Data Syndication job openings in the United States as of June 2026, with employment types broken down into 11% Locum Tenens, 11% As Needed, 22% Full Time, and 56% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $97,379 per year, or $46.8 per hour.

Product Data Analyst

NEFCO Construction Supply LLC

East Hartford, CT • On-site

Other

Posted yesterday

Job description

Description

At NEFCO, we are building more than a distribution network-we are building the future of construction supply. As we continue our growth journey from $1 billion to $5 billion, high-quality product data is critical to delivering exceptional customer experiences, operational excellence, and scalable growth.


We are seeking a Product Data Analyst who is detail-oriented, analytical, and passionate about turning data into a strategic advantage. In this role, you will help maintain, enrich, and optimize product information across multiple systems while driving automation, improving data quality, and supporting enterprise-wide data governance initiatives.


If you enjoy solving complex data challenges, collaborating across departments, and building processes that scale, we'd love to hear from you.

What You'll Do

Product Data Management

  • Maintain and enrich product  attributes including descriptions, specifications, classifications, images, dimensions, and identifiers (UNSPSC, GTIN, MPN) across ERP, PIM, and related systems. 
  • Source and validate missing product information from suppliers, manufacturers, and third-party data providers. 
  • Support new product onboarding by reviewing, validating, and enriching product data before deployment to downstream systems. 
  • Ensure product information  remains accurate, consistent, and aligned across all platforms. 

Data Quality & Governance

  • Apply data quality standards and perform routine audits to identify gaps, inconsistencies, duplicates, and compliance issues. 
  • Monitor and improve data completeness, accuracy, and consistency through established governance practices. 
  • Build and maintain dashboards and reporting tools to track data quality KPIs, enrichment progress, and operational performance. 
  • Help establish best practices, ownership models, and documentation for product data management. 

Process Improvement & Automation

  • Utilize SQL, Excel, Power Query, ETL tools, and AI-assisted technologies to automate data preparation, validation, and maintenance processes. 
  • Identify opportunities to reduce manual effort and improve scalability through workflow automation. 
  • Support ERP, PIM, and master data management initiatives that improve efficiency and data reliability. 
  • Assist with supplier integrations, catalog syndication, and product content distribution projects. 

Cross-Functional Collaboration

  • Partner with Pricing, Supply Chain, Sales, Operations, Marketing, and IT teams to understand business requirements and translate them into actionable data solutions. 
  • Serve as a trusted resource for product data expertise across the organization. 
  • Train users on data standards, self-service reporting tools, and best practices.  

Requirements

Qualifications

  • Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field (or equivalent experience). 
  • 2-4 years of experience in product data management, master data management, catalog operations, analytics, or a related role. 
  • Strong SQL skills and advanced Excel proficiency, including Pivot Tables, Power Query, lookups, and data validation techniques. 
  • Experience working with ERP, PIM, or other enterprise data management systems. 
  • Understanding of ETL processes, data transformation, and workflow automation concepts. 
  • Strong analytical and problem-solving skills with exceptional attention to detail. 
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment. 
  • Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. 
  • Experience with business intelligence tools such as Power BI, Tableau, or similar platforms. 
  • Knowledge of Python or other scripting languages for automation and data manipulation. 
  • Experience working with APIs, ETL pipelines, FTP/SFTP integrations, or other data exchange technologies. 
  • Familiarity with Epicor Eclipse, Salsify, or similar ERP/PIM platforms. 
  • Experience in industrial distribution, manufacturing, construction supply, or wholesale environments. 
  • Exposure to AI-powered data enrichment tools, machine learning, or large language models (LLMs). 
  • Understanding of product taxonomy management, classification systems, and data governance frameworks. 

What Success Looks Like

In this role, you will help create a trusted product data ecosystem that enables better decision-making and supports NEFCO's continued growth. Success means:

  • Product data is complete, accurate, consistent, and easily accessible. 
  • Data quality issues are identified and resolved proactively through scalable processes. 
  • Automation reduces manual work and improves operational efficiency. 
  • New product onboarding is streamlined, standardized, and repeatable. 
  • Stakeholders across the business have confidence in the integrity and reliability of product data. 
  • Data governance standards are clearly defined, adopted, and sustained.

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