As part of the SanDisk Global IT organization, this Senior Manage-level role places you at the forefront of a company-wide transformation to embed AI into core operations and product innovation. You will play a pivotal role in executing SanDisk’s enterprise AI strategy, with a focus on Generative AI (LLMs, agents), traditional ML, and data platform build-out.
You will be part of a global cross-functional team driving the development of scalable AI platforms and solutions that deliver measurable business impact across manufacturing, engineering, supply chain, and other functions. Based in Bangalore, this role offers the opportunity to build and lead a high-performance team, collaborate globally, and shape the future of AI at SanDisk.
Key Responsibilities
Leadership & Strategy
Internalize and drive the AI/ML vision and roadmap aligned with SanDisk’s strategic goals.
Champion the development, adoption, and scaling of a centralized Data and AI platform supporting both GenAI and traditional ML use cases.
Collaborate with global stakeholders across Product, Engineering, Operations, and IT to prioritize and deliver high-impact AI initiatives.
Lead technology evaluations and drive consensus across cross-functional teams.
Platform & Architecture
Architect and oversee the build-out of the Data and AI Platform, including:
Lakehouse architecture
ML lifecycle management
GenAI capabilities (LLMs, RAG, vector databases, agentic workflows)
Scalable cloud-native solutions (AWS, Azure, GCP)
Drive the development of internal AI SDKs/tools to accelerate adoption across teams.
Use Case Delivery
Partner with Factory, Operations, and Engineering teams to identify, prioritize and implement AI use cases tied to key business KPIs such as yield improvement, predictive maintenance, and process optimization.
Ensure responsible AI practices are embedded throughout the development and deployment lifecycle.
Influence stakeholders and end-users to drive adoption of AI-enabled solutions.
Team & Vendor Management
Build and mentor a world-class team of ML Engineers, Full-Stack Developers, and Data Scientists in Bangalore.
Manage and scale vendor partnerships to augment delivery capacity and technical depth.