Finance AI Solutions Architect — Build Scalable Data & ERP

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 152,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

NVIDIA Corporation seeks a Solutions Architect to join the Finance AI & Data team. You will bridge finance and engineering, translating business needs into technical specs and designing end-to-end solutions that scale within NVIDIA's tech landscape.

Requirements include a BS/MS in a relevant field, 5+ years of technology-enabled problem solving, and strong communication skills to collaborate across finance, IT, data, security and engineering teams.

Qualifications

  • Strong understanding of FP&A, close, reporting and controls.
  • BS/MS or equivalent in Business Analytics, Data Science, Economics, CS or Finance.
  • 5+ years using technology to solve business problems, including at least 2 years in a technical or technical-adjacent role.

Responsibilities

  • Bridge CFO challenges to NVIDIA technologies and design end-to-end solutions.
  • Determine how AI, systems, tools and data compose into a working whole.
  • Partner across finance, IT, data, security and product/engineering teams.
  • Discuss data flows and AI with engineers and finance leaders to craft scalable designs.
  • Understand architecture of projects spanning AI, ML, data engineering, ERP, compliance and security.

Skills

Finance & accounting processes
Communication skills
Technical problem solving
AI/ML project experience

Education

BS/MS in Business Analytics, Data Science, Economics, Computer Science, or Finance

Tools

ERP systems

Job description

NVIDIA Corporation seeks a Solutions Architect to join the Finance AI & Data team. You will bridge finance and engineering, translating business needs into technical specs and designing end-to-end solutions that scale within NVIDIA's tech landscape.

Requirements include a BS/MS in a relevant field, 5+ years of technology-enabled problem solving, and strong communication skills to collaborate across finance, IT, data, security and engineering teams.

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