Business Specialist jobs

What you'll be doing:

• Lead business operations and analytics across NVIDIA’s ODM ecosystem, enabling manufacturing scalability and operational rigor.

• Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.

• Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.

• Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.

• Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.

What we need to see:

• Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).

• 8+ years of experience in hardware operations, manufacturing analytics, or financial planning — ideally within data center, semiconductor, or hyperscaler environments.

• Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.

• Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.

• Outstanding communication and execution skills— you can transform data into clear insights and collaborate effectively across global teams for implementation.

• A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and teamwork matter.

Ways to Stand Out from the Crowd:

• Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.

• Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.

• Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.

• Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.

• Passion for translating data into strategy — turning operational insights into measurable results that advance NVIDIA’s AI Factory mission.

What You’ll Be Doing:

• Guide partners along their Exemplar Path, a collective journey towards demonstrating outstanding cloud acceleration performance, scalability, and innovation leadership.

• Collaborate with NVIDIA’s Cloud, Partner, and Enterprise Solutions teams to co-develop strategies that align cloud architecture with customer and national objectives.

• Develop business and technical roadmaps that connect infrastructure investment with measurable business impact and long-term ecosystem growth.

• Collaborate with sovereign and hyperscale cloud providers to establish AI acceleration strategies using NVIDIA’s technology stack (DGX Cloud, NVIDIA AI Enterprise, Grace Hopper, NVLink, CUDA).

• Lead executive-level workshops and strategy sessions with partner leadership teams to align vision, performance goals, and value creation.

• Support joint go-to-market initiatives that highlight exemplar implementations of NVIDIA accelerated computing within global and sovereign clouds.

• Act as a trusted advisor and ecosystem strategist, connecting technology performance to economic, environmental, and strategic outcomes.

• Contribute to NVIDIA’s Sovereign AI and Cloud Acceleration playbooks, defining frameworks for innovation that respect data sovereignty while scaling AI adoption.

What We Need to See:

• Bachelor’s or Master’s in Business, Engineering, Computer Science, Data Science, or equivalent experience.

• 12+ years of experience in cloud strategy, AI infrastructure consulting, or partner ecosystem development.

• Solid understanding of GPU-accelerated computing, AI infrastructure, and cloud architecture.

• Demonstrable ability to translate technical solutions into strategic business narratives and measurable value frameworks.

• Experience interacting with executive team members and ecosystem partners across both public and private sectors.

• Effective communication and storytelling skills across technical and strategic audiences.

Ways to Stand Out from the Crowd:

• Deep experience in hyperscaler or sovereign cloud partnerships and ecosystem development.

• Familiarity with NVIDIA DGX Cloud, AI Enterprise, and Grace Hopper-based architectures.

• Proven track record in strategic enablement programs or building exemplar partner models that demonstrate innovation excellence.

• Understanding of Sovereign AI trends, AI infrastructure economics, or sustainable acceleration strategies.

What you'll be doing:

• Act as the subject matter expert (SME) for material management processes supporting data center infrastructure hardware across its full lifecycle.

• Be responsible for the planning and execution of operational hardware sparing strategies to ensure availability and minimal downtime.

• Own the end-of-life (EOL) management process for infrastructure hardware, including decommission planning and material disposition.

• Ensure inventory accuracy through ongoing audits, reconciliation processes, and alignment with data center operational needs.

• Apply ABC inventory classification methodology to prioritize and optimize stock levels based on usage, cost, and criticality.

• Maintain and improve material planning models to support forecasting and capacity planning initiatives.

• Analyze data trends to drive continuous improvements in inventory optimization, cost control, and operational efficiency.

What we need to see:

• 12+ years of experience in material management, inventory operations, or hardware lifecycle support within data center infrastructure, manufacturing, or supply chain environment.

• Solid grasp of data center hardware components (servers, networking, storage, etc.) and their lifecycle (deployment, sparing, EOL).

• Demonstrable experience with inventory control practices, including ABC classification, stock audits, and accuracy initiatives.

• Excellent organizational and documentation skills; attention to detail is a must.

• Bachelor’s degree in Supply Chain Management, Operations, Logistics, Information Technology, or related field; or equivalent experience.

What you'll be doing:

• Manage interface between NVIDIA and Distributor.

• Directly lead Distributors. Handle channel disputes as needed.

• Ensure Distributors meet and exceed goals.

• Understanding distributor business strategies. Communicating distributor business strategies to pertinent departments in NVIDIA.

• Understanding and communicating NVIDIA value propositions (corporate, positioning, products, technologies, capabilities) to distributors and VARs.

• Managing Distributor product focus.

• Running quarterly and ad-hoc promotional activities at distributor.

• Training distributor salespeople.

What we need to see:

• Minimum (8) years related experience in channel account sales management.

• BA (or equivalent experience), MBA is a plus

• Experience managing distribution channel accounts is a plus.

• Proven ability to develop and maintain relationships with channel partner accounts.

• Track record of strong sales in compute and storage products.

• Strong team-selling skills.

• Excellent oral and written communications skills including effective presentation and negotiation skills.

Ways to stand out from the crowd:

• Understanding of data science workflows and generative AI's effect on the Professional Visualization sector channel.

• A strong curiosity about understanding new technologies and adept at conveying their value to a distributor sales, technical and executive teams.

• Strong executive presence, polish, and political savvy

• Track record of successfully growing revenue for new innovative technology based solutions.

• Specific experience and relationships within key Professional Visualization sector distributors and the ability growth their revenue.