Head of Supply Chain Risk & Resilience

Cisco Systems, Inc.; San Jose (CA); Hybrid; USD 188,000 - 246,000; Full time

Job summary

Cisco Systems, Inc. seeks a senior leader to manage a team of risk analysts within Global Supply Chain. You will drive resilience by embedding risk thinking across functions, guiding incident response, and coordinating with cross-functional partners to sustain continuity.

You will design proactive risk processes, implement early warning systems, and utilize AI data from internal and external signals to prevent issues and optimize decisions across the supply chain.

Qualifications

• 10+ years of operational or enterprise risk management experience in supply chain, manufacturing, or logistics.
• Proven ability to build risk processes and drive organization-wide adoption of new frameworks.
• Strong leadership and coaching capability; able to attract and retain talent.
• Comfort with ambiguity and change; experience leading transformation in complex environments.
• Strategic thinking paired with operational rigor; able to design systems and run operations.

Responsibilities

• Lead and develop a team of risk analysts and operations professionals with clear priorities.
• Oversee current risk management activities, incident response, and compliance with frameworks.
• Engage cross-functionally to embed risk thinking into operational decisions.
• Design proactive risk management processes, including identification frameworks and early warning systems using AI insights.
• Drive adoption and communicate progress to maintain momentum and stakeholder confidence.

Skills

Operational risk management

Team leadership

Change management

Cross-functional collaboration

Strategic thinking

Tools

AI tools

Job description

Cisco Systems, Inc. seeks a senior leader to manage a team of risk analysts within Global Supply Chain. You will drive resilience by embedding risk thinking across functions, guiding incident response, and coordinating with cross-functional partners to sustain continuity.

You will design proactive risk processes, implement early warning systems, and utilize AI data from internal and external signals to prevent issues and optimize decisions across the supply chain.