Sr. Director, Enterprise Data Management & AI

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

We are seeking a visionary Enterprise Data & AI leader, responsible for setting and executing the strategic vision for democratizing data and artificial intelligence across the enterprise at Sandisk. This role is pivotal in transforming the business through data-driven decision-making, advanced analytics, and AI-enabled solutions. This senior member of IT leadership team will oversee the development, governance, and optimization of data assets while fostering a data-driven culture and aligning data capabilities with organizational goals.

This role is central to enabling digital transformation, ensuring the organization leverages data and AI as strategic assets to drive growth, efficiency, and innovation

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Strategic Leadership: Define, lead, and execute enterprise-wide data and AI strategies aligned with business priorities, regulatory requirements, and industry best practices.
• Data & AI Governance: Establish and oversee frameworks for data quality, stewardship, compliance (e.g., GDPR), and responsible AI use.
• AI & Analytics Enablement: Drive the adoption and operationalization of AI/ML capabilities, including generative AI, predictive/prescriptive analytics, and data visualization.
• Data Architecture: Lead the development of scalable, secure enterprise data architectures and platforms, including cloud-based environments and data lakes.
• Data Infrastructure and Technology: Design and oversee scalable data infrastructure aligned with enterprise architecture standards.
• Business Value Realization: Identify and deliver data-driven opportunities for monetization, efficiency, and competitive differentiation; measure and communicate business impact.
• Cross-functional Collaboration: Partner with business and technology leaders to align data initiatives with corporate strategy and ensure successful implementation of solutions.
• Team Leadership: Mentor and develop high-performing teams of data and AI professionals; foster a culture of innovation and best practices.
• Stakeholder Engagement: Serve as the primary advisor to executive leadership on data and AI topics; facilitate workshops, steering committees, and executive briefings.
• Innovation & Thought Leadership: Stay abreast of emerging trends in data, AI, and digital transformation; guide the organization’s innovation pipeline.

Qualifications

REQUIRED:

• Bachelor’s degree in data science, Computer Science, Information Systems, Enterprise Architecture, or related field (Master’s or Ph.D. preferred).
• 15+ years of experience in data management, enterprise architecture, and analytics, with at least 5 years in leadership roles.

SKILLS:

• Expertise in enterprise architecture frameworks and data governance.
• Strong knowledge of data architecture, big data platforms, and cloud-based solutions.
• Experience integrating data systems into enterprise-wide architectures.
• Advanced understanding of machine learning, AI, and business intelligence tools.
• Proven leadership and strategic planning capabilities.
• Excellent stakeholder communication and project management skills.

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stere