Director AIML, Enterprise Data

Job Description
As part of the SanDisk Global IT organization, this Director-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.

Qualifications
15-18+ Years of Professional Experience working with large Product and Services Organizations

BS/MS in Electrical Engineering, Computer Science, Data Science

10+ years of experience in AI/ML, with 3+ years in leadership roles managing engineering and product development teams.

Proven track record of shipping ML/LLM systems to production in enterprise environments.

Deep Expertise In
Python, PyTorch/TensorFlow

GenAI frameworks (RAG, LangChain, vector databases)

MLOps, ML CI/CD

Cloud platforms (AWS, Azure, GCP)

Preferred
Experience in the semiconductor or high-tech industry.

Experience in use-cases with Engineering Productivity, Manufacturing Automation, Supply Chain Optimization

Exposure to cloud-native architectures.

Experience building internal AI platforms or SDKs used across multiple teams.

Strong cross-functional leadership and communication skills.

Ability to translate business goals into technical roadmaps and execution plans.

Experience managing technology and services vendor relationships.

Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.