Director, Enterprise Data, Analytics & AI
About The Position
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 lifecycles, 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Partner with cross-functional leaders to translate ambiguous business needs into scalable data and AI solutions, managing priorities, risks, and investment tradeoffs.
- Define secure, governed, and AI-ready data architecture. Build reliable, reusable data products that maintain high standards for quality, lineage, and traceability.
- Lead the development of predictive models, anomaly detection, and forecasting initiatives that support critical operational decisions in product planning, capacity, and risk management.
- 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.
- Lead the delivery of intuitive, self-service BI products and executive dashboards that provide a single source of truth for operational and financial performance.
- Hire, coach, and develop a high-performing team of technical contributors, providing both mentorship and hands-on technical guidance.
Benefits
- medical, dental and vision insurance
- a 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees (non-exempt)
- flexible vacation time off program (exempt)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Optional 10 paid days per full calendar year to volunteer
- annual bonuses (for non-sales roles)
- performance-based incentive pay (for sales roles)
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What This Job Offers
Job Type
Full-time
Career Level
Director
