Job ID:
J51790
Job Title:
SAP Production Planning Consultant
Location:
Fairfield,, NJ
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Job descriptionÂ
(Hybrid - Associate may need to travel to client locations in New Jersey and Indiana for meeting the Business stakeholders. Travel will be paid by the customer and frequency will be determined based on work demand.)
Must Have
Deep SAP PP Expertise: Proven experience in reviewing and optimizing SAP Production Planning configurations, with a strong focus on multi-brand environments (especially MAP brand).
Manufacturing Process Knowledge: Ability to analyze end-to-end manufacturing processes, identify gaps between current practices and industry best practices, and recommend scalable, optimized solutions.
Shopfloor & Execution Understanding: Hands-on knowledge of shopfloor operations and manufacturing execution processes to effectively support business users.
Strategic Roadmap Development: Capability to design and implement a SAP PP roadmap aligned with organizational growth plans and acquisition strategies.
Cross-Module Impact Assessment: Experience collaborating with internal teams and SAP COE to evaluate and manage impacts on other SAP modules during major changes or enhancements.
Strong Communication & Stakeholder Management: Ability to engage with business and technical teams, clearly articulate recommendations, and drive consensus.
Good-To-Have
Integration Knowledge: Familiarity with related SAP modules (MM, SD, QM, CO) and their interdependencies with PP.
Industry Best Practices: Exposure to advanced manufacturing methodologies such as Lean, JIT, or Industry 4.0 concepts.
Change Management Skills: Experience in guiding organizations through process transformation and system enhancements.
Reporting & Analytics: Ability to leverage SAP tools for performance monitoring and KPI reporting.
Experience in Multi-Brand or Global Rollouts: Understanding of complexities in scaling
Skills required: Digital : SAP BusinessObjects Data Services
MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract