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Houston, TX-based company seeks a Product Data Specialist to own the product data ecosystem. You will define canonical data models, map variant attributes, and establish data quality thresholds for 2.5 million catalog items. Lead end-to-end cleanup for 300,000 parent items and 2.2 million variants, aligning ERP and website data.
You will collaborate with the Ecommerce Director and ERP Admin to ensure data supports SEO, site search, and data flows. Strong Excel, PIM, and ERP experience required.
We have a large, complex product catalog and a small, capable e-commerce and IT team. Today, our Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the website, and our Office Manager is the subject matter expert on product inside the ERP. What we are missing is someone who owns the product data itself: the person who defines what clean, complete, and consistent data looks like for our catalog, and who is accountable for getting it there and keeping it there.
This role is the single point of ownership for our entire product data ecosystem. You will be the bridge between our ERP, our website, and our internal teams, ensuring that the 2.5 million items in our catalog are accurate, well-structured, and optimized for both customer experience and search visibility.
Data Standards & Architecture
Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands
Create and maintain the master variant attribute mapping (e.g., consolidating hundreds of inconsistent finish names into a standardized set of canonical values)
Establish minimum data quality thresholds for product pages to remain published on the website
Catalog Cleanup & Normalization (Initial Project)
Lead the end-to-end data cleanup project across 300,000 parent items and 2.2 million variants, starting with our 50 actively sold brands and expanding to traffic-only brands
Audit the existing catalog to quantify data quality issues by type, brand, and severity
Work with the team to define normalization rules, mapping tables, and review criteria that all cleanup work follows, and approve the results before they publish
Identify and resolve duplicate items, orphan variants, and incorrect parent-child relationships
Cross-reference ERP product records against the live website to identify and fix discrepancies
Manufacturer Data Standards
Define the required fields, formats, and image specifications that manufacturer data feeds (EDI, API, flat files) must meet before they are accepted into the catalog
Evaluate and recommend product data syndication tools or PIM platforms to automate ongoing data ingestion
Ongoing Data Governance
Own the new product intake process: every item that enters the catalog meets your standards before it goes live
Define the completeness, consistency, and freshness metrics the catalog is measured against, and own the reporting that tracks them
Run quarterly catalog audits and report on data health to leadership
Create and maintain documentation and playbooks so the Data Analyst can execute day-to-day maintenance within your framework
Cross-Functional Collaboration
Work with the Ecommerce Director to ensure product data supports SEO strategy, site search, and filtering
Work with the ERP Admin to ensure data structures, workflows, and integrations support clean data flow between the ERP and the website
Guide the Data Analyst’s day-to-day catalog work, providing standards, priorities, and quality review
Coordinate with the sales team to understand which product attributes drive customer purchasing decisions and trade partner requirements
Support the ERP evaluation process by defining product data migration requirements and testing data mapping in any new system
WHAT WE ARE LOOKING FOR
Required Experience
2-5 years of experience in product data management, catalog management, or PIM administration in an e-commerce or distribution environment
Hands-on experience cleaning and normalizing large product catalogs (100,000+ SKUs)
Comfortable working with large data sets in spreadsheet, PIM, and reporting tools, including reading and interpreting reports built by others
Advanced Excel skills including pivot tables, VLOOKUP/INDEX-MATCH, and data transformation
Demonstrated ability to define data standards and enforce them across an organization
Experience working with ERP systems in a product data context (Epicor Prophet 21 experience is a strong plus)
Required Experience
Experience in building materials, plumbing, kitchen, bath, or home improvement product lines
Experience with PIM platforms such as Akeneo, Salsify, Pimberly, or DDS Acadia
Familiarity with the structure and content of manufacturer data feeds (EDI 832/846, flat files)
Experience with product data syndication and SEO optimization for e-commerce
Understanding of variant/configuration management for products with multiple finishes, sizes, or options
Experience supporting ERP migrations or major system transitions from a data perspective
Who You Are
You are obsessive about data quality and consistency — inconsistent finish names keep you up at night
You can zoom out to design a data architecture and zoom in to manually fix a product record
You communicate clearly with both technical and non-technical stakeholders
You are self-directed and can manage a multi-month project without constant oversight
You understand that product data is not just an IT problem — it directly impacts sales, customer experience, and operational efficiency
COMPENSATION & BENEFITS
Salary: $65,000 - $75,000 annually, based on experience
Benefits: 401K (4% match), 2+ weeks PTO based on tenure, Medical, Dental, Vision
This role is based in Houston, TX