Senior Business Solutions Architect, Enterprise Data Management

at Nvidia
📍 Santa Clara, United States
USD 168,000-264,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

R @ 3 Data Structures @ 4 Leadership @ 6 Data Engineering @ 4 BI @ 4 Informatica @ 4 Mulesoft @ 3 Databricks @ 4 Power BI @ 3 GPU @ 4

Details

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With the invention of the GPU, the field has expanded across gaming, film, product design, medical diagnosis, and scientific research. NVIDIA focuses on innovation at the intersection of visual processing, high performance computing, and artificial intelligence.

The NVIDIA IT Business Applications team is seeking a Senior Business Solutions Architect - Enterprise Data Management to support master & reference data required by Operations and Engineering Operations businesses, with a primary focus on data needed for end-to-end Supply Chain Management processes. This role works closely with business and cross-functional IT teams including planning, inventory management, engineering, and finance.

Responsibilities

  • Define and implement a unified enterprise data and governance strategy to support manufacturing and supply chain operations.
  • Establish governance frameworks (taxonomy, policies, stewardship councils, KPIs) and publish data quality scorecards.
  • Enable planning, sourcing, procurement, manufacturing, inventory, sales/O2C, logistics, and finance with clean, standardized master data.
  • Drive consistency in product, BOM, routing, and engineering data across PLM, ERP, and shop-floor systems.
  • Serve as lead architect for enterprise data solutions across SAP MDG, S/4HANA, ECC, Informatica MDM, Databricks, PLM, and SFDC.
  • Lead ECC-to-S/4HANA migrations, ensuring data harmonization, cleansing, and transformation.
  • Implement automation and AI/ML-ready data structures to enhance supply chain and operational processes.
  • Partner with BI/AI teams to improve data accessibility, forecasting, and insight-driven decision-making.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
  • 12+ years of experience in Enterprise Data Management (EDM), Data Governance, and Solution Architecture within manufacturing and high-tech supply chains.
  • Expertise in SAP ECC, S/4HANA, SAP MDG (Product, BOM, Business Partner, Customer, Vendor), and Informatica MDM/CDGC.
  • Proven track record in designing and implementing data governance frameworks, ERP transformations, and end-to-end supply chain integrations.
  • Hands-on skills in data modeling, data engineering, and metadata management.
  • Background in data quality, cleansing, and KPI-driven monitoring.
  • Familiarity with modern data platforms and integration tools, including Databricks, SAP CPI, MuleSoft, Informatica (CAI/CDI/CID-R) and HANA analytics platforms (Power BI).
  • Knowledge of AI/ML readiness for supply chain optimization and advanced analytics enablement.
  • Demonstrated ability to influence senior leadership, drive cross-functional consensus, and deliver enterprise-scale data transformation initiatives.

Ways to stand out

  • Multiple end-to-end lifecycle implementations in Data and SAP domain.
  • S/4HANA implementation and data migration experience.
  • Semiconductor industry experience.

Compensation & Additional Information

  • Base salary range: 168,000 USD - 264,500 USD (determined based on location, experience, and pay of employees in similar positions).
  • You will also be eligible for equity and benefits.
  • Hybrid role (#LI-Hybrid). Applications accepted at least until September 7, 2025.

NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.