Director, Consumer Data Platform & Analytics Enablement

Director, Consumer Data Platform & Analytics Enablement

• Full-time
• Salary Range:
  
  -
• Job Type (exemption status):
  Exempt position - Please see related compensation & benefits details below
• Business Function:
  Data Analytics

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.

The Consumer Data Platform & Analytics Enablement Director is a new position within Sandisk’s Global Consumer Intelligence & Analytics (“CIA”) function. The mission of CIA is to enable our “Consumer at the Center” strategy, by driving consumer centricity into decision‑making that drives company growth. This role will be the leading voice for the Consumer data domain and will manage the Consumer domain within our corporate Lakehouse architecture.

Ultimately, this role will deliver a Power BI‑first and fully agentic AI‑enabled ecosystem to enable self‑serve business data and reporting s role is expected to deliver meaningful, production‑ready Consumer data products and KPIs on a regular cadence, while legacy reporting is maintained in parallel during transition.

We are seeking a strategic, results‑oriented leader with a strong bias for action and a proven ability to thrive in a fast‑paced, dynamic environment. Our ideal candidate will be comfortable with ambiguity, and adept at working with complex marketplace data (scanner, media response) and internally‑generated data (shipments, financial reporting). You must possess strong leadership qualities, drive continuous improvement, establish best practices, and build strong partnerships across the organization.

• Work with the corporate Enterprise Data & AI and Consumer Data Teams to own the Consumer division’s curated (“silver” and “gold”) data layers, including harmonization of external market data with corporate sources, in alignment with enterprise lakehouse and governance standards.
• Drive data “AI‑readiness” to help future‑proof the data ecosystem, inclusive of metadata curation and documentation of business logic.
• Develop and operate the Consumer BI ecosystem on the corporate lakehouse platform (e.g., Power
  
  BI, Databricks), enabling scalable self‑service by analysts and business users.
• Enable integration of AI into business reporting and underlying analysis, in order to build early warning systems and to identify underlying business trends worthy of future study.
• Partner with Consumer division leadership to ensure downstream analysis applications and BI stack are delivering reliable, efficient, and valuable service.

• 10+ years relevant experience (consumer tech, consumer electronics, or CPG industries preferred).
• Demonstrated history of business impact through data ecosystem development, data engineering, or Development/Operations (Dev Ops) organization leadership.
• Data modeling & harmonization experience, including with vendors with varying product/timing hierarchies.
• Ability to deliver strong data transformation results inside corporate guardrails (e.g., security and access, governance, intake, and prioritization).
• Experience designing AI‑ready data platforms, including semantic modeling, metadata management, and…