Product Data Specialist

Job Details

Job Location:

Madison Heights, MI - 1357

E. Lincoln Ave - Madison Heights, MI 48071
Position Type:
Full Time
Job Category:
Information Technology
Product Data Specialist

McNaughton McKay Group (MMG) is a 100% employee-owned distributor of electrical and PVF (pipes, valves, and fittings) solutions, serving the industrial, commercial and construction markets.

Our portfolio of trusted brands operates from more than 60 branches across nine states and Germany. At MMG, we do more than deliver products. We build lasting partnerships—backed by deep inventory and local expertise—to keep your projects moving and businesses growing. Our empowered team provides the support, insight and scalable solutions needed to navigate today’s demands and solve our customers’ most complex challenges.

This position supports the architecture and day-to-day orchestration of the company’s Product Information Management (PIM) platform (Stibo STEP) and related data pipelines. The role serves as an operational partner to the Product Data Manager, helping monitor automated workflows and suggesting and implementing improvements to optimize them for efficiency, maintaining documentation and version control, triaging incoming data quality issues, and supporting the rollout of new platform initiatives.

The position requires familiarity with data workflows, automation tooling (particularly Alteryx), and the operational systems the PIM platform connects to, including the ERP and ecommerce channel.

• Monitor automated PIM and Alteryx workflow outputs; identify and expedite anomalies, failures, or data quality exceptions requiring expert resolution.
• Maintain documentation and version control for the Alteryx and Stibo STEP automation library, including workflow change logs, process guides, and runbooks.
• Support rollout of new platform initiatives, including testing, validation, and coordination with the external integrator under direction of the Product Data Manager.
• Perform first-level triage on service desk tickets related to PIM data, ecommerce product content, and ERP product attributes; resolve or elevate appropriately.
• Execute defined data quality improvement tasks: reviewing enrichment output, identifying classification gaps, and flagging records for remediation.
• Assist with taxonomy maintenance, attribute schema updates, and category-level data standards as directed.
• Contribute to the enrichment and publishing pipeline for standard catalog products, supporting match rate improvements against IDEA and Affiliated Distributors aggregator feeds.
• Support onboarding of new product data into the PIM platform, including data mapping, validation, and workflow testing.
• Collaborate with the Product Data Manager and cross-functional stakeholders to document data standards and support process improvement efforts.
• Perform application testing during Stibo STEP upgrades and ongoing development initiatives.

• Bachelor’s degree in a related field plus 3–5 years of professional experience in data operations, data analytics, or a related discipline. Equivalent experience considered in lieu of degree.
• Proficiency in Alteryx Designer for building, running, and maintaining data workflows. Hands‑on experience with workflow scheduling, data blending, and output validation.
• Experience in a PIM or MDM platform in a professional setting — managing product data, taxonomy, enrichment workflows, or data governance. Experience with Stibo STEP specifically is a strong plus.
• Solid understanding of relational database concepts and SQL — comfortable reading, writing, and troubleshooting queries involving joins, filtering, aggregation, and subqueries. Ability to use SQL to investigate data issues and validate pipeline outputs independently.
• Understanding of programming and scripting concepts, particularly Java and JavaScript, is a plus. Familiarity with these languages supports platform configuration, workflow scripting, and integration troubleshooting within enterprise data environments like Stibo STEP.
• Understanding of how master data (product,…