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Director Product Management, Enterprise Data and AI

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: Sandisk
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Product Designer, Data Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry‑leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

As part of the San Disk 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 San Disk’s enterprise AI strategy, with a focus on Generative AI (LLMs, agents), traditional ML, and data platform build‑out.

San Disk is seeking a Director of Product Management to lead product strategy and execution for Enterprise Data and AI efforts that will enable teams across Engineering, Manufacturing, Supply Chain, Finance, HR, and IT to build, deploy, and scale data‑driven and AI‑powered solutions on a shared, secure and unified data platform AIML and Generative AI stack.

This role is responsible for platform vision, business stakeholder and functional engagement, roadmap ownership, and value delivery for core Enterprise Data and AI platform capabilities, working closely with Data & AI leadership, platform engineering teams, and business stakeholders.

Essential Duties And Responsibilities Product Strategy & Roadmap
  • Own the product roadmap for Enterprise Data and AI platform capabilities, aligned to enterprise priorities and platform maturity.
  • Translate business needs and technical strategy into clear, prioritized product capabilities.
  • Balance near‑term delivery with longer‑term platform evolution.
Platform Product Management
  • Lead product management for core platform areas, including:
    • Data lakehouse and data products
    • Semantic layer and enterprise data access
    • AI/ML and GenAI platform foundations
    • Agentic workflows and shared AI services
  • Partner with architecture and engineering teams to ensure capabilities are scalable, secure, and production‑ready.
Use Case Enablement & Value
  • Drive the intake, prioritization, and lifecycle of enterprise AI and data use cases.
  • Guide teams from proof‑of‑concept to productized, reusable solutions.
  • Define success metrics and track business impact of AI‑enabled solutions.
Cross‑Functional Collaboration
  • Serve as the primary product partner to IT, Engineering, Info Sec, Legal, Procurement, and business teams.
  • Ensure alignment with security, Responsible AI, and enterprise architecture standards.
  • Communicate roadmap, tradeoffs, and progress clearly to senior stakeholders.
Adoption & Experience
  • Define the engagement model for developers, data scientists, and business users adopting Vortex.
  • Partner with enablement and change teams to support onboarding, documentation, and adoption.
  • Continuously improve developer and user experience.
Team Leadership
  • Lead and mentor a small team of product managers or product owners.
  • Establish consistent product management practices, planning cadence, and execution discipline.
Qualifications Required
  • 15+ years of product management experience, including ownership of enterprise platforms or shared services.
  • Experience with data platforms, AI/ML platforms, or developer platforms.
  • Strong understanding of modern data architectures and AI/GenAI concepts.
  • Proven ability to work effectively in matrixed, cross‑functional…
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