Technical Product Manager - Sandisk

As part of the Sandisk Global IT organization , this role sits at the center of a company-wide transformation to embed AI into core operations and product innovation .

We are seeking a Technical Product Manager – Enterprise Data & AI to drive execution of Sandisk’s enterprise data and AI platform strategy. You will partner closely with product leadership, engineering, and business stakeholders to build and scale a shared, secure, and unified data platform along with AI/ML and Generative AI capabilities , including agentic AI systems .

This is a hands-on role focused on platform development, agentic AI enablement, orchestration, and delivering measurable business value .

ESSENTIAL DUTIES AND RESPONSIBILITIES:

1. Product Strategy & Roadmap Execution

• Execute the roadmap for Enterprise Data & AI platform capabilities
• Translate business and technical strategy into clear product features and priorities
• Balance near-term delivery with long-term platform evolution and reuse

2. Platform Product Management

Support development of core platform components:

Data Platform

• Data lakehouse and enterprise data products
• Semantic layer and governed data access

AI/ML Platform

• Model development, deployment, and lifecycle (MLOps)

Generative & Agentic AI

• LLM-powered applications and agentic workflows
• AI agent orchestration using frameworks like LangGraph
• Shared AI services and reusable components

Partner with engineering to ensure solutions are:

• Scalable, secure, and production-ready

3. AI & Data Use Case Delivery

• Drive intake, prioritization, and execution of enterprise AI and agentic AI use cases
• Support transition from POC → production → reusable platform assets
• Enable business teams to leverage LLMs, agents, and AI-driven automation
• Track adoption, success metrics, and business impact

4. Cross-Functional Collaboration

• Engineering, Data Science, and Architecture
• InfoSec, Legal, Procurement
• Business stakeholders across functions
• Ensure alignment with Responsible AI, governance, and security standards
• Clearly communicate trade-offs, priorities, and outcomes

5. Adoption & Developer Experience

• Define and improve developer and user experience for the Data & AI platform
• Support onboarding via documentation, templates, and self-service tooling
• Drive adoption of agentic AI frameworks and reusable workflows

6. Product Execution Excellence

• PRDs, product backlogs, and user stories
• Release plans and delivery milestones
• Use tools such as Jira and Confluence to manage delivery and collaboration
• Partner with design teams using Figma to define intuitive user experiences