Principal SAP Production Planning Specialist

Role Description

The Principal SAP PP Specialist will lead production planning process design and optimization in SAP S/4HANA, including:

• Demand management
• MRP
• Capacity planning
• Production order management

This role requires expertise in:

• S/4HANA planning features
• Planning strategies
• Lot sizing
• BOM/routing configuration

The consultant will:

• Analyze planning run results
• Resolve material shortages
• Align production schedules with business demands

Strong collaboration with supply chain and procurement teams is essential to ensure optimal material availability and production efficiency. Familiarity with SAP PMMO is a huge advantage.

The role includes production execution expertise with a focus on:

• 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

The resource will design and support real-time data interfaces ensuring seamless bidirectional communication for:

• Production orders
• Operations
• Material consumption
• Quality data

Experience troubleshooting interface failures, data inconsistencies, and production variances between SAP and MES is critical.

Qualifications

• Bachelor's degree in a related field (or equivalent work experience in lieu of degree or Masters +10 yrs experience)
• Typically 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

Requirements

• 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

Benefits

• Medical, dental, and vision plans
• 401(k) with 150% match up to 6%
• Life insurance
• 3 weeks paid time off
• Generous benefit package

Compensation

Pay Range: $135,403.00 - $186,178.75. Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, experience, internal equity, and market competitiveness.