Nvidia Corporation in
Senior Business Solutions Architect, Enterprise Data Management
Nvidia Corporation in, Santa Clara, California, us, 95053
Overview
Senior Business Solutions Architect, Enterprise Data Management (Finance)
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 involves working 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.
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.
Qualifications
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
Multiple end-to-end lifecycle implementations in Data and SAP domain
S/4 HANA implementation and Data migration experience
Semi-Conductor industry Experience
Compensation and Benefits 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.
Application Timeline Applications for this job will be accepted at least until September 7, 2025.
Equal Opportunity NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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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 involves working 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.
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.
Qualifications
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
Multiple end-to-end lifecycle implementations in Data and SAP domain
S/4 HANA implementation and Data migration experience
Semi-Conductor industry Experience
Compensation and Benefits 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.
Application Timeline Applications for this job will be accepted at least until September 7, 2025.
Equal Opportunity NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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