Nvidia Senior Business Solutions Architect Enterprise Data Management 

United States, California 

431249634

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