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PIM Product Lead (Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

PIM Product Lead (Manufacturing): Scaling the product data foundation for a global digital commerce ecosystem with an accent on PIM data modeling, global taxonomy, and data orchestration. Focus on implementing AI/LLM-driven data enrichment and ensuring high-quality product data across global storefronts.

Location: Onsite in Milwaukee, Wisconsin, USA

Company

World leader in manufacturing construction, mining, forestry, and industrial heavy equipment with a history of excellence since 1921.

What you will do

  • Govern global product taxonomy, category structures, and technical attribute standards within the PIM ecosystem (Informatica P360 or equivalent).
  • Design and evolve PIM data models and establish Golden Record standards to ensure accuracy across 100k+ SKUs.
  • Lead the technical strategy for OEM data onboarding, including mapping logic, transformations, and exception handling.
  • Implement AI and LLM-based tools for automated categorization, attribute mapping, and generating SEO-optimized product descriptions.
  • Build and maintain a related-part relationship graph (substitutes, accessories, kits) and validate fitment logic.
  • Partner with corporate headquarters in Japan and business teams to define the PIM roadmap and align it with web and commerce programs.

Requirements

  • 5+ years of experience as a Technical Product Owner, Data Product Manager, Data Architect, or Systems Analyst in PIM/MDM environments.
  • Proven experience designing and governing large-scale product data models (100k+ SKUs).
  • Hands-on experience with PIM platforms, preferably Informatica P360.
  • Deep understanding of JSON schemas, REST/GraphQL APIs, and SQL.
  • Experience integrating PIM with eCommerce platforms, ERPs, and DAMs.
  • Must be based in Milwaukee, Wisconsin, USA for onsite work.

Nice to have

  • Familiarity with equipment, aftermarket, industrial, or B2B product catalogs.
  • Practical experience applying AI/ML or LLM-based tools to data enrichment and automation use cases.

Culture & Benefits

  • Opportunity to lead a high-impact global digital transformation initiative.
  • Work in a diverse and inclusive environment that values unique perspectives.
  • Collaboration with international teams and stakeholders, including partners in Japan.
  • Stability and growth opportunities within a world-leading industrial corporation.

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