Director Analyst – Agentic AI, Enterprise Networking

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Conduct research, analysis, and forecasting of anticipated (as well as unforeseen) market trends and shifts to deliver actionable insights to end-user organizations and vendors.

• Stay ahead of emerging developments and challenges in specified areas and related fields of emerging technologies.

• Collaboratively create and publish analyses and positions regularly through evidence-based research.

• Effectively communicate complex ideas concisely and authoritatively through virtual or face-to-face interactions with senior executives.

• Serve as an industry expert by presenting at various conferences.

• Collaborate with sales and service delivery partners to enhance account growth, retention, and engagement.

⛳️ Requirements

• A bachelor's degree or equivalent experience; a graduate degree is preferred.

• Over 12 years of experience in enterprise networking, AI-driven network operations, or related IT fields, including practical experience with the integration of AI and automation in large-scale enterprise network environments.

• Proficiency in agentic AI models and AI-enabled network architectures, covering autonomous remediation, intent-based networking, policy orchestration, and AI-driven network optimization.

• Familiarity with agentic AI networking solutions from established vendors (e.g., Cisco, Fortinet, Palo Alto Networks, and HPE) and emerging vendors (e.g., Aviz Networks, Selector.AI, Linkeye.ai, NetPrompt.ai, and Nanites.ai).

• Capability to analyze and convey technology and business adoption scenarios, assisting senior IT leaders in understanding opportunities, risks, and implementation strategies for emerging AI-centric networking technologies.

• Extensive knowledge of enterprise networking technologies, including WAN connectivity, network architecture/design, network security principles, alongside a strong understanding of data center networking and cloud edge architectures.

• Solid working knowledge of SASE, SSE, NaaS, SD-WAN, and developing cloud connectivity paradigms.

• Understanding of networking-specific security frameworks, such as Zero-Trust principles, identity-driven policy enforcement, and AI-enhanced detection and response models.

• Awareness of global service provider offerings, major vendor ecosystems, and emerging AI-native networking platforms and startups.

• Comprehensive understanding of market and technology drivers, including cloud migration, distributed enterprises, edge computing, application modernization, and the evolving role of AI agents in autonomous enterprise infrastructure.

🏝️ Benefits

• Health insurance

• Flexible working hours

• Professional development opportunities