Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 6
Planning @ 4
Informatica @ 4
ChatGPT @ 3
Audit @ 4
Compliance @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a highly motivated and experienced Senior Business Solutions Architect focused on Operations within the Enterprise Data Management Team. This role requires deep functional expertise in SAP Production Planning (PP) and Materials Management (MM), tailored to the semiconductor industry, to address complex supply chain challenges, strengthen data governance and observability, and enable trusted, high-quality data across the supply chain.
Responsibilities
- Lead solutions and functional design for PP/MM master data domains: Material Master, BOM, Routing, Work Centers, Production Versions, ECN/Engineering Change data.
- Serve as the strategic link between business processes and technical data architecture.
- Own integrity, governance, and optimization of critical supply chain and production data objects.
- Collaborate with engineering, manufacturing, and supply chain teams to streamline New Product Introduction (NPI), Mass Production (MP), Product Data Management (PDM), and change-control processes from PLM to SAP ERP.
- Provide senior-level production support and drive enhancements, including incident management, root-cause analysis, functional specifications, and testing of enhancements (including user exits, BAdIs, workflows).
- Partner with business teams to define data taxonomy, catalog, lineage, and data quality KPIs across operations, engineering, planning, and finance; drive MDM/DQM initiatives using tools such as SAP MDG or Informatica to ensure consistent enterprise-wide data governance.
- Collaborate with business, IT, and architecture teams to translate complex operations and supply chain requirements into scalable, automated, and AI-enabled data and process solutions.
- Influence C-level and VP-level executives, business owners, and IT partners to align on process transformation, data governance, and data strategy to support company growth.
Requirements
- Bachelor's or Master's in computer science, information systems, supply chain/industrial engineering, or related field, or equivalent experience.
- 12+ years of SAP experience with strong focus on Production Planning, Manufacturing, and Materials Management, including at least one SAP S/4HANA implementation in MM/PP.
- Deep functional understanding and hands-on experience with PP/MM master data (Materials, BOMs, Routings, Work Centers, Production Versions, ECNs, etc.).
- Proven experience on PLM integration with SAP (e.g., PTC Windchill or similar).
- Solid background in enterprise data governance and MDM/DQM in operations/manufacturing domains, including tools such as SAP MDG, Informatica, or Collibra.
- Demonstrated experience in SAP production support and enhancements: incident/problem management, root-cause analysis, functional design, testing and release management.
- Familiarity with SAP custom enhancements (user exits, BAdIs, workflows) and ability to work closely with ABAP/technical teams to deliver solutions.
- Experience with controlled firefighter/emergency access in SAP production, including controls, compliance, and audit requirements.
- Excellent communication and influencing skills; ability to work effectively with executives, business process owners, architects, developers, and global operations teams.
- Familiarity with AI-enabled productivity and data platforms (e.g., ChatGPT, Copilot, Gemini, Claude) to improve automation, data quality, and decision-making.
Benefits
- Base salary range: 168,000 USD - 270,250 USD.
- Eligible for equity and NVIDIA benefits (see company benefits page).
Additional information
- Applications accepted at least until April 10, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.