Product Information Manager

Würth MRO, Safety, & Metalworking

Product Information Manager overseeing PIM capabilities, standards, and governance for a leading digital commerce organization. Driving product information strategies, processes, and data quality across teams and systems.

Posted 6/27/2026full-timeChicago • Illinois, Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 per yearWebsite

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Hard Skills

Product Information ManagementMaster Data ManagementData GovernanceDigital CommerceSQLGoogle BigQueryData AnalysisData ValidationData QualityTaxonomy Management

Soft Skills

Analytical skillsProject managementProblem-solvingCommunication skillsLeadershipInfluencing stakeholdersCross-functional collaborationOrganizational alignmentTrainingIndependent work

Tools & Technologies

InformaticaSTIBOSyndigoSalsifyPIMcorePower BITableauLooker Studio

Industry Keywords

Product data dictionaryBusiness glossaryProduct taxonomyAttribute frameworksSupplier content acquisitionProduct onboardingContent validationDigital transformationKPI monitoringeCommerce

Tech Stack

Tools & technologies

BigQueryInformaticaSQLTableau

About the role

Key responsibilities & impact

Establish and maintain enterprise product information governance frameworks, standards, policies, ownership models, and stewardship processes.
Define and maintain the product information operating model, including roles, responsibilities, workflows, controls, and governance procedures.
Own the enterprise product data dictionary, business glossary, field definitions, business rules, and product information standards.
Define and govern key product information entities, relationships, hierarchies, classifications, and the eCommerce product data model.
Serve as the business owner and subject matter expert for Product Information Management (PIM) capabilities.
Lead PIM implementation, optimization, adoption, training, and long-term roadmap initiatives.
Define future-state product information workflows supporting product onboarding, enrichment, maintenance, publication, and retirement processes.
Establish and govern processes supporting product creation, maintenance, enrichment, publication, and retirement.
Define standards and workflows for supplier content acquisition, product enrichment, content validation, and ongoing maintenance.
Lead the design and governance of product taxonomy structures, category frameworks, classification standards, and attribute strategies.
Define category-level attribute requirements, inheritance models, approved Lists of Values (LOVs), and data standards.
Establish and govern product eligibility standards for publication across eCommerce, marketplaces, syndication partners, and other digital channels.
Develop and maintain data quality frameworks, scorecards, KPIs, monitoring processes, and remediation workflows.
Partner with Digital Merchandising to ensure taxonomy, attributes, and data standards support discoverability, search, navigation, filtering, and recommendation experiences.
Drive organizational alignment around product information standards, governance, customer experience requirements, and digital transformation initiatives.

Requirements

What you’ll need

Bachelor's degree in business, Information Systems, Data Management, Marketing, Supply Chain, or related field
5+ years of experience in Product Information Management, Master Data Management, Product Content, Data Governance, Digital Commerce, or related disciplines
Experience with PIM systems such as Informatica, STIBO, Syndigo, Salsify, PIMcore, or others
Strong understanding of product information management, data quality, governance, taxonomy management, attribute frameworks, and digital commerce best practices
Experience designing scalable business processes, governance frameworks, operating models, and product information standards
Experience leading or supporting Product Information Management (PIM) implementations
Proven ability to lead cross-functional initiatives and influence stakeholders across business and technical teams
Strong analytical, project management, problem-solving, and communication skills
Proficiency in SQL and experience working within Google BigQuery to analyze product, customer, merchandising, search, and operational data
Demonstrated ability to work independently with large datasets, performing data validation and analysis, and leveraging Google BigQuery to investigate issues, identify opportunities, and support business decisions
Experience with data analysis, reporting, dashboarding, and visualization tools (e.g., Power BI, Tableau, Looker Studio), with the ability to translate data into actionable insights and recommendations.

Benefits

Comp & perks

Health benefits and programs - medical, vision, dental, life insurance and more
Maternity/Paternal leave after 1 year of service
Tuition Reimbursement eligible after 1 year of service
Additional benefits 401(k)
Short term disability
Long term disability
Paid Time Off, accrued per pay period, additional day earned per year of service
10 paid holidays