IBP with Demand Planning (SAP IBP, APO and S&OP, Remote + Occasional Travel in CA)

Overview

Remote
$75 - $90
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 8 Month(s)
10% Travel

Skills

SAP IBP
APO
S&OP
S4HANA
S/4 HANA

Job Details

Request Title: IBP with Demand Planning
Pay Rate: $88.20 on C2C, $78.75 on W2 (W2: NJ, NY, CT, MI and CA)
Desired Start Date: 4/15/2024
Duration: 8 Months, Hrs/Wk:40.00
Work Location: Oakland, CA (Remote + Occasional Travel)

Managing Solution Architect - IBP with Demand Planning
- In-depth experience in setting benchmarks, executing best practices, organizational change management and enabling digital platforms to modernize and transform supply chains & commercial operations.
- Proven leadership skills with experience in leading and executing SAP S4HANA projects.
- Expertise in delivering Digital Supply Chain transformation initiatives using Cloud, AI/ML, Mobile and Analytics SaaS enabled solutions.
- experience in SAP Advanced Planner & Optimizer (APO) with strong design and configuration expertise in DP, SNP, Deployment, TLB, PPDS, GATP, CIF and Collaborative Planning.
- experience in SAP Integrated Business Planning (IBP) S&OP/Demand/Control Tower/Inventory/Response and Supply.
- S&OP Ability to optimize business plans with effectively balancing demand, supply and inventory; increasing speed and agility of planning process, enabled real-time collaboration between business functions. Must be able to configure IBP Process Templates to allow business to develop Budgets/Latest Estimates (LE), run simulations and model constraints at various aggregation/planning levels. Configured complex calculations using Period Attribute Transformation. Experience with EPM Sheet Formatting and Custom Alerts.
- Demand Must be able to configure of advanced statistical forecasting models including Gradient boosting for improvement of forecast accuracy.
- Demand Sensing Modeling external downstream demand signals such as POS / Retail Store level data for deployment decisions.
- Inventory Optimized multi-stage inventory targets across network to improve customer service levels considering demand/supply variability, cost factors, lead times and other constraints