Senior Manager, Enterprise Data & AI Team job opportunity at SanDisk.

Home Jobs In India Tag: Enterprise Data & AI Team Senior Manager, Enterprise Data & AI Team position at SanDisk


Date2026-04-09T14:23:52.226Z bot
SanDisk Senior Manager, Enterprise Data & AI Team
Experience: General
Pattern: Full-time
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Enterprise Data & AI Team

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degreeGeneral
loacation Bengaluru, Karnataka, India
loacation Bengaluru, Kar..........India
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Job DescriptionAs 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.  

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