IBP Support - BroadAxis, Inc

Key Responsibilities:

• Leverage deep knowledge of supply chain processes to design and implement solutions in SAP S4 and IBP, covering areas such as:
  • Inventory Optimization
    
  • OBP Deployment & TLB
    
  • Demand Planning
    
  • IBP Optimizer
    
  • S&OP
    
  • Driver-Based Planning
    
  • Constraint-Based Planning
    
• Translate business processes into technical solutions and vice versa, ensuring clear communication and understanding between business and technical teams.
  
• Articulate risks, solutions, and multiple options to stakeholders in business language, supporting business development and system enhancements.
  
• Manage planning master data integration from SAP S4 to IBP, ensuring accuracy and efficiency.
  
• Lead cross-functional teams to execute supply chain initiatives and system implementations.
  
• Oversee the scheduling, monitoring, troubleshooting, and communication of weekly and monthly batch runs, with a focus on automation.
  
• Summarize and present data insights at appropriate organizational levels.
  
• Develop and maintain backup strategies and document all processes thoroughly.
  
• Collaborate with Global Process Owners (GPOs) to provide viable solutions and continuously enhance system capabilities.
  

Qualifications:

• 12+ years of experience in supply chain processes and SAP solutions.
  
• Strong knowledge of SAP S4 and IBP modules, with hands-on experience in designing and implementing supply chain solutions.
  
• Proven ability to translate complex business requirements into technical solutions.
  
• Excellent communication skills, with the ability to effectively convey technical concepts in business terms.
  
• Experience in leading cross-functional teams and driving successful project execution.
  
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.
  
• Experience with planning master data management and integration.
  
• Ability to document processes comprehensively and develop contingency plans.
  

CANDIDATE SKILLS AND QUALIFICATIONS Professional experience as a data analyst, developer, or data scientist. Professional experience creating statistical or machine models to execute forecasting based on disparate and unfamiliar datasets. Coding and release experience using bash, Python, and/or other common languages. Building dashboard and reporting suites keeps stakeholders and consumers in mind through the design and iteration phases. Experience working with, analyzing, and testing deeper analytical hypothesis using utility or energy- related data sets Working within a cloud infrastructure, DevOps experience