NVIDIA

As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.. Define unified data strategy that aligns with business goals and lays foundation for business process digital transformation.. Support user acceptance testing for Product Lifecycle Management (PLM), MDM, SAP Enterprise Resource Planning (ERP), SFDC Customer Relationship Management (CRM) enhancements and collaborate with development teams for timely issue resolution.. 12+ as enterprise data governance and MDM functional SME or similar role, with focus in Engg. & Mfg. and PLM domain (hands-on experience in PTC Windchill, or any other leading domain solution is preferred). Experience working in PLM, SAP & Non-SAP applications and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (product data management (PDM), new product introduction (NPI), bill of material (BOM) management, manufacturing resource planning (MRP), supply chain management, operations engineering etc.)

business solution architect

Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry. What you’ll be doing: As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint. Define unified data strategy that aligns with business goals and lays foundation for business process digital transformation. Assess and document the end-to-end data flow for Engg. & Mfg. and PLM processes, including product, customer, supplier master data and the derived master and enterprise data elements. Partner with business to define data taxonomy, policy, catalog, lineage and challenge the status quo. Identify data stewards and establish cross functional user councils to define and drive KPI’s to measure data quality and integrity. Build an enterprise data governance model to drive timely and effective business decision making and achieving operational excellence. Perform data audits and report data quality metrics as part of data governance reviews. Design and implement tools to accelerate data architecture and workflows to support evolving business processes and needs. Support process improvements for PLM, SAP and Non-SAP enterprise data changes by collaborating with business and technical teams. Support user acceptance testing for Product Lifecycle Management (PLM), MDM, SAP Enterprise Resource Planning (ERP), SFDC Customer Relationship Management (CRM) enhancements and collaborate with development teams for timely issue resolution. Drive innovation and automation in MDM & DQM by collaborating with business intelligence, machine learning and artificial intelligence teams. Influence C-level, VP level executives, business owners and IT partners to align on process transformation, data governance and data strategy to support company growth. Partner with functional, technical architecture and development teams for seamlessly implementing the MDM & DQM processes and solutions. What we need to see: Bachelor’s degree in computer science engineering/ supply chain management or equivalent experience is required. Advanced degree or relevant certification is desired in data domain (data engineer preferred), Engg. & Mfg. and PLM (certification preferred) 12+ as enterprise data governance and MDM functional SME or similar role, with focus in Engg. & Mfg. and PLM domain (hands-on experience in PTC Windchill, or any other leading domain solution is preferred) Experience working in PLM, SAP & Non-SAP applications and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (product data management (PDM), new product introduction (NPI), bill of material (BOM) management, manufacturing resource planning (MRP), supply chain management, operations engineering etc.) and enterprise data elements and their inter dependency with finance, sales, purchasing, marketing, planning, operations and engineering processes etc. Experience in working with business to transform processes, establishing data policy & governance, and implementing enterprise level solution with experience in MDM & DQM processes and tools (hands-on experience in SAP MDG/ Informatica/ Collibra or similar product is preferred). Familiarity with industry standard processes and regulatory requirements. Excellent communication, presentation, and interpersonal skills to effectively collaborate with cross-functional teams and partners at all levels. Analytical demeanor with the ability to interpret data, generate insights, and make data-driven decisions. Ability to work in a fast-paced environment and adapt to changing priorities and requirements. 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, results-oriented and enjoy having fun, then what are you waiting for? Apply today! The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis. 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. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA .

START NEW SEARCH