Director Analyst – Agentic AI, Enterprise Networking

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

📋 Description

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

• Stay informed about advancements and challenges within the designated areas, along with relevant adjacent fields of emerging technologies.

• Collaborate in writing and publishing analyses and positions on a regular basis through evidence-based research.

• Convey complex concepts succinctly and authoritatively through virtual or in-person engagements with senior-level executives.

• Represent the organization as an industry expert at various conferences.

• Collaborate with sales and service delivery teams to foster account growth, retention, and engagement.

⛳️ Requirements

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

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

• Proficiency in agentic AI models and AI-enabled network architectures, such as 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) as well as emerging vendors (e.g., Aviz Networks, Selector.AI, Linkeye.ai, NetPrompt.ai, and Nanites.ai).

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

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

• Comprehensive understanding of SASE, SSE, NaaS, SD-WAN, and evolving cloud connectivity models.

• Knowledge 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.

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

🏝️ Benefits

• Health insurance

• Flexible working hours

• Professional development opportunities