Director, Data and Integration

Details

NVIDIA is continuing to lead innovation in AI, accelerated computing, and graphics. This role is responsible for the strategy, architecture, and delivery of enterprise data platforms, integrations, and analytics to enable insights and B2B data exchange. The Director will lead a distributed team to build and operate data lakes, warehouses, pipelines, and integration frameworks that support analytics, AI training and inference, and secure partner/customer connectivity. The role emphasizes Power BI-driven analytics for partners and promoting AI/ML adoption across data engineering and integration.

Responsibilities

• Lead the Data & Integration Engineering department, defining platforms and services that enable data-informed decision-making across NVIDIA.
• Architect and operate enterprise data lakes, data warehouses, lakehouse architectures, and cloud-native data platforms supporting analytics, AI training, and inference.
• Define and deliver end-to-end data pipelines spanning ingestion, curation, analytics, and visualization.
• Build enterprise Power BI and self-service analytics capabilities to provide timely, accurate, and actionable insights for employees and partners.
• Establish data integration frameworks connecting enterprise systems, AI models, and B2B ecosystems (partners, suppliers, customers).
• Ensure secure, governed, and compliant data exchange with external entities to support business operations, supply chain, and partner collaboration.
• Promote adoption of AI/ML in data engineering and integration, including intelligent transformations, anomaly detection, and predictive insights.
• Drive the architecture of event-driven integrations (e.g., APIs, Kafka, service mesh) to support real-time business workflows.
• Collaborate with business stakeholders to accelerate time-to-insight and unlock enterprise data value for internal and B2B use cases.
• Recruit, mentor, and grow a distributed team of engineers focused on data platforms, APIs, integration, and BI/analytics.

Requirements

• 15+ years of experience in data engineering, integration, or distributed systems, including a minimum of 5 years in a senior management role.
• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience designing and operating large-scale enterprise data platforms (data lakes, warehouses, lakehouse, cloud-native ecosystems).
• Strong technical expertise in integration technologies such as Kafka, event streaming, API gateways, and service mesh; familiarity with iPaaS.
• Experience leading data governance, metadata management, and observability initiatives.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and modern data stacks.
• Familiarity with AI/ML pipelines, model training, deployment, and serving.
• Ability to translate business priorities into data and integration strategies.
• Strong leadership, communication, and cross-functional collaboration skills.

Compensation & Benefits

• Base salary range: 268,000 USD - 408,250 USD (will be determined based on location, experience, and internal pay equity).
• Eligible for equity and NVIDIA benefits (link provided in original posting).

Additional Information

• Location: Santa Clara, CA (US). Role marked as hybrid (#LI-Hybrid).
• Applications will be accepted at least until August 29, 2025.
• NVIDIA is an equal opportunity employer and committed to diversity and inclusion.