Director of Network Analytics

Description

The Director of Network Analytics is a senior leadership role responsible for establishing and leading the analytics strategy for Fiber Light’s network environment. This role oversees the collection, analysis, and application of data across network operations to drive performance optimization, reliability, automation, capacity planning, and strategic decision‑making. The Director will partner closely with Network Engineering, Operations, and Executive Leadership to ensure data‑driven insights guide key initiatives and long‑term architectural planning.

• Develop and execute a comprehensive network analytics strategy aligned with business and technology objectives.
• Define and own KPIs, SLAs, SLOs, and health metrics across all network infrastructure domains.
• Lead transformation of network operations from reactive to predictive, leveraging analytics, AI/ML, and automation.
• Build models to identify performance trends, service degradation, outage precursors, and optimization opportunities.
• Work with NOC, Engineering, and Architecture teams to improve incident detection, reduce MTTR, and prevent outages.
• Implement analytics‑driven root cause analysis (RCA) and continuous improvement processes.
• Evaluate and implement emerging tools such as AIOps, digital twins, automation frameworks, and predictive analytics engines.
• Drive adoption of APIs, streaming telemetry, and automation for data extraction, integration, and decision‑making.
• Build and lead a high‑performing team of data engineers and network analysts.
• Collaborate with Finance, Product, and Business units to translate network analytics into

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 10+ years of experience in network engineering, network operations, data analytics, or related roles.
• 5+ years in leadership roles managing technical teams.
• Strong understanding of network architectures (LAN/WAN, DWDM, cloud networking, routing/switching).
• Hands‑on experience with analytics, observability, AIOps, and automation tools (e.g., Solar Winds Orion, Splunk, Elastic, Grafana, Thousand Eyes, Kentik, Data Dog, etc.).
• Proficiency with network data formats (Net Flow, SNMP, telemetry), SQL and No
  
  SQL databases, and data pipelines.
• Experience with Python, APIs, automation frameworks, or ML tools is a strong plus.