KATBOTZ LLC Logo

KATBOTZ LLC

SAP S/4HANA Cloud Manufacturing Consultant (PP)

Reposted 12 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Expert/Leader
Remote
Hiring Remotely in USA
Expert/Leader
Lead design, configuration, testing, and deployment of SAP S/4HANA Cloud manufacturing (PP) processes. Run Fit-to-Standard workshops, support master data migration, integrate Plan-to-Produce with other modules, execute testing and cutover, provide post-go-live support, and drive manufacturing process improvements and release assessments.
The summary above was generated by AI

This is a remote position.

KATBOTZ LLC is seeking an experienced SAP S/4HANA Cloud Manufacturing Consultant (PP) to support manufacturing transformation and ERP implementation initiatives. The ideal candidate will possess deep expertise in production planning, manufacturing execution, material requirements planning (MRP), bills of materials (BOM), routings, capacity planning, and integration with Supply Chain and Finance processes.

The consultant will work closely with manufacturing, supply chain, procurement, and business leadership teams to design, configure, test, and deploy SAP S/4HANA Cloud Manufacturing solutions using SAP best practices.

Key Responsibilities
Solution Design & Configuration
  • Lead Fit-to-Standard workshops and gather manufacturing business requirements.

  • Design and configure SAP S/4HANA Cloud Manufacturing processes including:

    • Material Master

    • Bills of Material (BOM)

    • Work Centers

    • Routings / Production Versions

    • Material Requirements Planning (MRP)

    • Demand Management

    • Capacity Planning

    • Production Orders

    • Shop Floor Control

    • Repetitive Manufacturing

    • Batch Management

    • Production Execution

  • Configure manufacturing organizational structures and planning parameters.

Implementation & Delivery
  • Participate in SAP Activate implementation projects.

  • Prepare functional specifications and configuration documentation.

  • Support master data design, cleansing, and migration activities.

  • Execute unit testing, integration testing, and User Acceptance Testing (UAT).

  • Support cutover planning, deployment, and go-live activities.

Integration & Collaboration
  • Collaborate with:

    • Materials Management (MM)

    • Warehouse Management (EWM)

    • Sales & Distribution (SD)

    • Finance (FI)

    • Controlling (CO)

    • Quality Management (QM)

    • Procurement and Supply Chain teams

  • Ensure seamless Plan-to-Produce integration across business functions.

Support & Optimization
  • Provide post-go-live support and hypercare.

  • Troubleshoot manufacturing and planning process issues.

  • Recommend process improvements and automation opportunities.

  • Support SAP quarterly cloud release assessments and testing.

  • Drive manufacturing best practices and continuous improvement initiatives.

Required Qualifications
  • Bachelor's degree in Engineering, Manufacturing, Supply Chain, Information Technology, or related field.

  • 10+ years of SAP PP consulting experience.

  • Minimum 2 SAP S/4HANA Cloud implementation projects.

  • Strong expertise in:

    • Production Planning (PP)

    • MRP

    • BOMs

    • Routings / Production Versions

    • Capacity Planning

    • Production Orders

    • Manufacturing Execution

  • Experience with SAP Activate methodology.

  • Experience conducting Fit-to-Standard workshops.

  • Strong understanding of manufacturing and supply chain processes.

  • Excellent communication and stakeholder management skills.

  • Ability to work independently in a remote consulting environment.

Preferred Qualifications
  • SAP S/4HANA Cloud Manufacturing Certification.

  • Experience with:

    • Advanced Planning & Scheduling

    • Demand-Driven MRP (DDMRP)

    • Embedded Analytics

    • SAP Digital Manufacturing

    • SAP Fiori Applications

    • Quality Management (QM)

    • Extended Warehouse Management (EWM)

  • Experience supporting global and multi-country manufacturing implementations.

  • Experience in discrete, process, automotive, industrial manufacturing, consumer products, or life sciences industries.

Key Skills
  • SAP S/4HANA Cloud Manufacturing (PP)

  • Production Planning

  • Material Requirements Planning (MRP)

  • BOM & Routing Management

  • Capacity Planning

  • Production Orders

  • Shop Floor Control

  • SAP Activate

Similar Jobs

43 Minutes Ago
In-Office or Remote
2 Locations
150K-250K Annually
Entry level
150K-250K Annually
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.
Top Skills: Data PipelinesFoundation ModelsGenerative ModelsGpu Hardware OptimizationLatent Space ModelsMultimodal LearningNeural Audio CodecsSelf-Supervised LearningSpeech-To-Speech SystemsStatistical Learning TheoryTriton Kernels
2 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
170K-190K Annually
Senior level
170K-190K Annually
Senior level
Fintech • Information Technology • Software • Financial Services
Design and build Alloy’s go-to-market technology architecture, including CRM integrations, iPaaS automations, data pipelines, and workflow improvements. Develop SQL, Python, and JavaScript scripts for data manipulation and automation; monitor data quality and system performance; support reporting and BI dashboards; troubleshoot integration issues; and advise on GTM technology, vendors, and build-versus-buy decisions. Partner with RevOps, Sales, Marketing, Customer Success, IT, and leadership to translate business needs into scalable technical solutions.
Top Skills: APIsChurnzeroDbtGainsightGongHookJavaScriptLookerN8NOutreachPythonSalesforceSalesloftSQLTableauTray.IoWorkatoZapier
3 Hours Ago
Remote or Hybrid
85K-105K Annually
Senior level
85K-105K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Supports NBCUniversal’s ad sales systems by owning tickets, troubleshooting software, integrations, calculations, and backend data issues. Monitors systems, manages defects, documents procedures, coordinates with vendors and engineering teams, and recommends process improvements and automation. The role provides stakeholder communication, incident management, alerting and logging guidance, and occasional evening and rotating weekend on-call coverage during special events.
Top Skills: Ai ToolsAPIsData StreamsMicroservicesRobotic Process Automation (Rpa)ScriptingSQLTest Automation

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account