Senior Business Systems Analyst, SAP IBP Planning

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$144,000–$230,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $145k
This role $187k
$97k most similar roles pay here $244k

This role pays more than 85% of similar roles. Most pay $119,050–$170,000 — the shaded band above. At the midpoint, this role pays about $187k versus about $145k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Business Systems Analyst, SAP IBP Planning

The Senior Business Systems Analyst - SAP IBP Planning joins the Supply Chain Information Technology team to architect and deliver robust, scalable solutions for complex supply chain requirements. This role involves overseeing SAP Demand Planning and S&OP solutions while building optimization models using SAP APO SNP Optimization and Capable-to-Match techniques. The position requires developing prototypes, performing integration analysis, and conducting end-user training to connect demand signals with supply constraints. Key technical competencies include expertise in SAP IBP Response & Supply modules, as well as the application of AI, machine learning, and large language models for statistical forecasting, demand sensing, and anomaly detection. The role addresses critical supply chain planning problems by creating executable consensus plans and improving plan quality through automated insights to reduce manual intervention within a high-tech manufacturing context involving chip supply constraints.

What you'll do

  • Architect and deliver scalable supply chain solutions using SAP IBP Demand Planning, Response & Supply, and S&OP modules.
  • Build and optimize supply network models using SAP APO SNP Optimization and Capable-to-Match techniques.
  • Develop prototypes and proof-of-concepts to translate business requirements into production-grade operational solutions.
  • Integrate AI/ML capabilities like statistical forecasting, demand sensing, and LLM-enhanced insights to improve plan quality.
  • Lead the implementation, integration analysis, testing, and end-user training for existing SAP IBP and APO functionalities.
  • Connect demand signals with supply constraints to produce executable, collaboratively developed consensus plans.
  • Debug, support, and continuously improve applications built within the SAP IBP and SAP APO ecosystems.

What we're looking for

  • BS or Master's in Operations Management, Industrial Engineering, Computer Science, or equivalent experience.
  • 10+ years of experience designing and implementing comprehensive supply chain planning solutions using advanced planning tools.
  • Direct experience with SAP IBP S&OP and SAP IBP Response & Supply is essential.
  • Proven experience in AI/ML applied to supply chain planning is essential.
  • Knowledge of LLMs, machine learning, or data science related to planning is mandatory.
  • Strong S&OP process knowledge to connect demand plans with supply capacity for executable consensus plans.
  • Experience in SAP IBP Demand Planning including statistical forecasting, demand sensing, and collaborative planning.
  • Experience with SAP APO SNP Optimization or CTM modeling to address constrained supply challenges.
  • Semiconductor or high-tech industry supply chain experience (preferred).
  • Experience integrating SAP IBP with ERP systems like S/4HANA via CPI-DS or API (preferred).
  • Hands-on experience with AI/LLM tooling for specific supply chain use cases (preferred).
  • Knowledge of alternative planning platforms such as Kinaxis, Blue Yonder, or Anaplan (preferred).
  • Data science or machine learning skills in Python or R (preferred).

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