Principal SAP Production Planning Specialist
$148,943–$204,796 year
On-siteLouisville, Colorado, United States
Job Summary
Lead production planning process design and optimization in SAP S/4HANA, covering demand management, MRP, capacity planning, and production order management. Analyze planning run results to resolve material shortages and align schedules with business demands while collaborating with supply chain and procurement teams. Design and support real-time data interfaces between SAP and manufacturing execution systems (MES), ensuring seamless bidirectional communication for production orders, operations, material consumption, and quality data. Troubleshoot interface failures, data inconsistencies, and production variances between SAP and shop floor systems. Requires 12+ years of related experience and a Bachelor's degree or equivalent. Compensation ranges from $148,943.00 to $204,796.25.
Required Qualifications
- Bachelor's degree in a related field (or equivalent work experience in lieu of degree or Masters +10 yrs experience)
- 12+ years of related experience
- Certification: varies by business system
- Extensive understanding of IT systems, software configuration, CI/CD, engineering, and/or business processes
- Expertise in software environments and upgrades
- Expertise in S/4HANA planning features
- Planning strategies
- Lot sizing
- BOM/routing configuration
- Familiarity with SAP PMMO
- Production execution expertise
- Manufacturing execution system (MES) integration
- Interface management between SAP and shop floor systems
- Strong understanding of production confirmations
- Backflushing
- Goods movements
- Transaction orchestration between SAP PP and MES
- Design and support real-time data interfaces
- Seamless bidirectional communication for production orders
- Operations
- Material consumption
- Quality data
- Experience troubleshooting interface failures
- Data inconsistencies
- Production variances between SAP and MES
Desired Qualifications
- Advanced proficiency in scripting languages (e.g., Python, PowerShell) for automation and process improvement
- Experience with enterprise architecture frameworks and methodologies
- Expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native application development
- Strong knowledge of containerization technologies (e.g., Docker, Kubernetes)
- Proficiency in advanced data analysis tools and techniques, including machine learning and AI
- Experience with DevOps practices and tools (e.g., Jenkins, GitLab CI/CD)
- Familiarity with microservices architecture and API management
- Advanced understanding of cybersecurity principles and best practices
- Experience with ITIL or other IT service management frameworks
- Proven ability to lead complex technical projects and initiatives
- Experience in leading and mentoring other analysts
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