Job Description

We believe the future of our organization lies within the hearts and capabilities of our team members. We respect diversity and will continuously strive to be a respected global corporate citizen.

Heavily invested in R&D and engineering, we also recognize that our customers require much more than just our state-of-the-art trailer solutions. Hyundai Translead is committed to delivering innovation beyond the product to positively impact the trailer owning lifecycle. In addition to delivering consistently excellent products from our world-class manufacturing facilities, we’ve developed technologies and services that dramatically improve the customer care experience.

This position will be for our new manufacturing facility in Joliet and will initially be employed by Hyundai Translead’s corporate office but will be remote from the State of Illinois to support the launch of the Company’s new manufacturing facility before transitioning to full time, onsite once the facility is operational.

Pay Range: $97,920 - $117,470

Exciting benefits await at our company:

• Medical, Dental, and Vision coverage with 100% Company Paid Premiums
• 401K plan with 4% Employer Matching
• Flexible Spending Accounts for added financial flexibility
• Grocery Allowance to support your well-being
• Pet Insurance for your furry companions

Join us and enjoy these fantastic perks!

Job Summary

The SAP PP Consultant - Intelligent Manufacturing owns SAP Production Planning for the new Joliet manufacturing plant from end to end. The role is responsible for strengthening a stable SAP ECC backbone and developing an intelligent production environment that connects SAP with AI-supported forecasting, scheduling, quality, and maintenance capabilities. The consultant translates plant needs into practical SAP solutions and returns actionable insights to production planners, supervisors, and shop-floor teams.

Essential Functions

• Own SAP PP processes for Joliet, including material master MRP views, bills of material, routings, work centers, capacity planning, MRP, production orders, confirmations, backflush, and goods movements.
• Manage and improve SAP PP integration with MM, SD, QM, PM, and CO.
• Work directly with plant personnel to understand production lines, operating constraints, and planning issues before designing system changes.
• Identify root causes, recommend practical solutions, and implement sustainable corrective actions rather than temporary workarounds.
• Design and deliver AI-supported use cases on top of SAP ECC, including: demand and component forecasting that feeds MRP, finite scheduling and production-sequencing optimization, predictive quality and scrap reduction using production-confirmation and QM data, maintenance signals from machine data linked to PP capacity
• Define integration architecture across RFC/BAPI, IDoc, OData/Gateway, data-platform extraction, and the return of model outputs into SAP transactions.
• Write precise functional specifications and collaborate directly with ABAP developers; read and debug ABAP when required.
• Lead change control, testing, cutover, and go-live activities with plant management, production planners, and supervisors.
• Train and coach key users, develop operating knowledge within the plant, and reduce dependency on individual support resources.
• Measure solution outcomes using plant metrics such as schedule adherence, inventory, scrap, throughput, and overall equipment effectiveness (OEE).
• Other duties as assigned.

Essential Functions (Continued)

Minimum Education and Experience Requirements

• Bachelor's degree in Information Systems, Computer Science, Engineering, Supply Chain Management, Business Administration, or a related discipline.
• 5 years of hands-on SAP PP configuration experience in a discrete manufacturing environment using SAP ECC 6.0.
• Experience completing at least two full SAP implementations or major rollout cycles.
• Solid working knowledge of SAP MM and PP-MM-SD-CO integration, with exposure to SAP QM and PM.
• Ability to read and debug ABAP and produce clear functional specifications; practical experience with enhancement points, BAdIs, and user exits.
• Practical experience extracting data from SAP and working with at least one analytics or machine-learning platform, such as Databricks, Azure Machine Learning, or Python-based tooling.
• Demonstrated delivery of at least one AI or advanced-analytics use case into production, beyond the proof-of-concept stage.
• Strong understanding of manufacturing operations, including MRP logic, lead times, capacity planning, lot sizing, and Lean/Kaizen principles.
• Ability to clearly explain planning problems to plant supervisors and technical designs to developers.

Preferred Education and Experience Requirements

• S/4HANA Production Planning knowledge, with an informed perspective on the ECC-to-S/4HANA transition.
• Experience with manufacturing execution systems or shop-floor data-collection systems and their SAP interfaces.
• Exposure to large language model tooling for document processing, planner assistance, or code generation in an SAP environment.
• SAP PP certification.

Language Requirement

Travel Requirements

• UP to 10%

Hyundai Translead will only communicate with candidates using @hyundaitranslead.com email addresses.

We do not send unsolicited job offers, request payments, or conduct interviews via messaging apps.

To report a suspicious message, please contact it_security@hyundaitranslead.com.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Hyundai Translead is an Equal Opportunity Employer/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

If you require accommodation to complete Hyundai Translead's employment application, please reach out to HR@hyundaitranslead.com

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position they are hired for.