Director, Enterprise Data, Analytics & AI

The application window is expected to close on: 10/07/2026

Meet The Team Cisco Silicon One is revolutionizing the industry by delivering a unified, programmable architecture that powers the future of the internet. You will lead the Enterprise Data, Analytics & AI team within Silicon One Business Operations. This multidisciplinary group of 5+ individual contributors is responsible for building the data foundation that drives Silicon One’s strategic planning and operational execution.

We focus on delivering trusted data, advanced analytics, and AI-enabled capabilities to improve decision-making across product life cycles, demand forecasting, and financial performance.

Your Impact In this role, you will set the technical direction and roadmap while fostering a culture of high performance and professional growth. Your impact will be defined by your ability to:

Strategic Leadership:
Partner with cross-functional leaders to translate ambiguous business needs into scalable data and AI solutions, managing priorities, risks, and investment tradeoffs.

Data Architecture & Engineering:
Define secure, governed, and AI-ready data architecture. Build reliable, reusable data products that maintain high standards for quality, lineage, and traceability.

Decision Intelligence:
Lead the development of predictive models, anomaly detection, and forecasting initiatives that support critical operational decisions in product planning, capacity, and risk management.

AI

Innovation: Identify and deploy high-value, production-ready AI agents and automation to improve workflows. Establish robust standards for responsible AI, including security, observability, and cost-efficiency.

Executive Reporting:
Lead the delivery of intuitive, self-service BI products and executive dashboards that provide a single source of truth for operational and financial performance.

Team Development:
Hire, coach, and develop a high-performing team of technical contributors, providing both mentorship and hands-on technical guidance.

Minimum Qualifications Bachelors + 15 years of related experience developing scalable data pipelines and operational execution.
4+ years of experience in people leadership, including coaching, developing, and managing technical teams.
4+ years of experience and technical proficiency in SQL and Python for data engineering and analytics.
4+ years of experience leading data science and AI/ML initiatives from problem definition through deployment and measurable impact.
4+ years of experience defining enterprise data architecture and establishing data governance standards.

Preferred Qualifications Master’s degree or PhD in a relevant technical or quantitative field.

Domain expertise in semiconductors, hardware systems, supply chain, or manufacturing operations.

Advanced experience in forecasting, optimization, simulation, or predictive modeling.

Experience with metadata management, cataloging, and advanced semantic-layer design.

Proficiency in cloud-native deployment, infrastructure automation, or multi-model AI optimization.

Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen…