Engineer, Engineering Standards and Tools

Essential Responsibilities

Global Standards & Procedures

• Collaborate with Engineering subject matter experts and cross-functional stakeholders globally to establish

• item/BOM and document standards that ensure consistency and effective communication of engineering design
• information delivered through items, BOMs, and related documentation to internal and external customers.

• Develop, document, implement, and maintain global engineering standards, procedures, and data governance

practices.

Data Structuring, Part Classification & Technical Data Preparation

• Lead coordination with external partners on technical data transformation activities, including planning,

progress tracking, issue resolution, and overall support.

• Manage assigned projects and initiatives from planning through completion.
• Drive the development and continuous improvement of item/BOM, document, and part classification standards

to enhance the consistency, usability, and governance of engineering data.

• Use data analysis to identify improvement opportunities in classification logic, attribute definitions, legal value

lists, deduplication, and the creation of trusted engineering records.

• Lead data cleansing, enrichment, consolidation, and deduplication efforts to improve data quality and establish

a reliable golden record.

• Provide expert guidance on part classification and data structuring in accordance with international standards

• and internal governance requirements, ensuring consistent, accurate, high-quality, and well-structured
• engineering data across the organization.

• Establish and govern global parts libraries, including CAD/item relationship, to support part reuse, standardized

item creation, and supply chain needs.

• Define, maintain, and govern material, quality, and process requirement libraries to ensure alignment and

consistency across engineering systems.

Cross-Functional Collaboration

• Collaborate with engineering teams and cross-functional stakeholders globally to align on standards, workflows,

and engineering data requirements, resolve issues, and drive adoption.

• Provide responsive, customer-focused support to internal and external stakeholders while fostering effective

communication and collaboration across engineering teams and cross-functional partners.

Data Integrity & Quality Control

• Maintain high levels of data integrity through regular audits, data validation, and quality checks to ensure

accuracy and compliance with established standards.

• Analyze engineering and technical data to identify patterns, inconsistencies, root causes, and opportunities to

improve data quality, governance, standardization, and part reuse.

Reporting & Documentation

• Prepare and present reports on findings, trends, and key metrics to stakeholders.
• Ensure clear and consistent documentation of data structures, classifications, standards, and methodologies to

support compliance, transparency, and effective knowledge sharing.

Change Management

• Act as an effective change agent, driving adoption and long-term acceptance of company-wide engineering

standards, practices, and procedures.

Qualifications

• B.S. degree in Mechanical Engineering or a related engineering discipline, with a minimum of 5 years of industrial

experience.

• Demonstrated experience with PLM or similar data management systems.
• Strong knowledge of engineering processes, systems, and design tools.
• Strong knowledge of engineering, industrial, and international standards.
• Strong analytical and data analysis skills, with the ability to interpret complex data and support data-driven

decision-making; basic programming or scripting skills are beneficial.

• Demonstrated proficiency in the application of Continuous Improvement Process tools.

Preferred Experience / Characteristics

• Strong analytical and problem-solving skills, with demonstrated ability to apply technology to solve complex

problems and meet business and stakeholder needs.

• Ability to identify patterns, trends, and inconsistencies in data and apply analytical techniques to support

decision-making, standardization, and process improvement.

• Proven ability to work effectively in standardization initiatives with strong attention to detail and accuracy.
• Strong interpersonal, communication, and influencing skills, with the ability to work effectively and

collaboratively across the organization in a matrix and global environment.

• Proven ability to lead discussions, build alignment among diverse stakeholders, and work through detailed

technical topics.

• Proven ability to adapt to changing organizational environments and business needs.