NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a highly motivated and experienced Principal Data Architect – Enterprise Data Management with focus on End-to-End Supply Chain to join our Business Applications team. This role is a crucial part of our mission to transform computing, driving the design, governance, and evolution of enterprise data platforms and global business processes. As an expert in the field, you will work with senior leaders, business partners, IT teams, and data engineering functions to create scalable, adaptable, and forward-looking solutions. Your knowledge will help us tackle intricate problems and implement innovative business process and data strategies.
What you’ll be doing:
Lead the transformation of coordinated business processes and data strategies across demand & supply planning, manufacturing execution, sales, logistics, NPI engineering, product costing, and finance.
Develop future-focused concepts, processes, data and system solutions that improve efficiency and scalability.
Collaborate with business executives and SMEs to define capability roadmaps, governance strategies, and process & data re-engineering initiatives.
Apply industry guidelines to creatively and effectively solve enterprise-wide business problems.
Independently lead complex, high-priority initiatives, assuming full accountability for decisions that impact project success.
What we need to see:
15+ years of related experience in business process and data transformations, with at least 3 years at a senior level.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience); advanced degree (PhD) or relevant publications desirable.
Demonstrated history of leading large-scale, complex process and data initiatives.
Deep subject matter expertise across SAP S/4, SAP MDG, Informatica, Databricks, SAP IBP, Anaplan, B4/HANA with hands on experience in data platforms
Strong knowledge of interdependencies between processes, data and ability to anticipate cross-functional impacts of change.
Experience in SAP S/4 greenfield and brownfield supply chain data migrations and integrations is desirable.
Proficient in utilizing AI tools such as Claude Cowork, ChatGPT, Copilot, Gemini, and other similar platforms.
Background with using ML/ AI tools in business process and data transformations
Experience in the semiconductor and hi-tech industry is required.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.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.”
.png){kind=logo}
