Master Data Governance & Quote-to-Order Lead

Metallus Inc.

Canton (OH)

On-site

USD 120,000 - 170,000

Full time

11 days ago
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Job summary

Metallus is seeking a Manager for Master Data Governance and Inquiry-to-Order Entry at our Canton, OH location. You will lead a staff of engineers and analysts to govern the product catalog and SAP PLM lifecycle, ensuring data accuracy, standards, and compliance to support quote-to-order processes.

You will collaborate with Sales, Product Management and Development, provide strategic and technical decision-making, and drive continuous improvement using large-scale data analytics to standardize

Qualifications

  • Bachelor’s degree in engineering, business, or related field and 12 years or more of experience within the manufacturing sector.
  • Master’s degree in engineering, business, or related field and 10 years or more of experience within the manufacturing sector.
  • Experience leading or managing teams within the manufacturing sector.

Responsibilities

  • Manage a staff of analysts and/or engineers to execute the quote-to-item creation lifecycle and convert quotes into master data.
  • Oversee end-to-end order entry for long-length purchase orders including EDI.
  • Own governance of product and customer master data ensuring standards, controls, and compliance.

Skills

Analytical and systematic approach
Sales/Marketing/Business management
Pricing and value selling
Creative thinking
Strategic thinking

Education

Bachelor's degree in engineering or business
Master's degree in engineering or business

Job description

Metallus is seeking a Manager for Master Data Governance and Inquiry-to-Order Entry at our Canton, OH location. You will lead a staff of engineers and analysts to govern the product catalog and SAP PLM lifecycle, ensuring data accuracy, standards, and compliance to support quote-to-order processes.

You will collaborate with Sales, Product Management and Development, provide strategic and technical decision-making, and drive continuous improvement using large-scale data analytics to standardize

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