For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. NVIDIA is now passionate about 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 join their team which supports master & reference data required to support Operations and Engineering Operations businesses. This role would require working very closely with various business and cross-functional IT teams that include, planning, inventory management, Engineering and Finance, with primary focus on Data needed for end to end Supply Chain Management processes.
What you’ll be doing:
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.
What we need to see:
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 Hi-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 from the crowd:
Multiple end-to-end lifecycle implementations in Data and SAP domain
S/4 HANA implementation and Data migration experience
Semi-Conductor industry Experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
