Strategic Leadership & Governance
· Execute and drive forward a comprehensive strategy for enterprise observability
· Establish governance frameworks, standards, and best practices for deployments.
· Ensure compliance with regulatory, security, and operational requirements.
· Drive the adoption of AIOps practices for proactive issue detection, intelligent alerting, root cause analysis, and automated remediation.
· Establish and scale practices for secure, efficient, and reliable deployment, observability, and lifecycle management of platform.
· Enhance and maintain a robust observability strategy across infrastructure, applications, networks, security, and data systems.
· Standardize the collection, correlation, and analysis of metrics, logs, and traces across all technology layers.
· Build predictive capabilities and dashboards to anticipate failures and enable proactive interventions.
· Treat observability as a product, continuously iterating to meet evolving business needs.
Tooling, Platform Management & Automation
· Evaluate, implement, and manage advanced observability, and AIOps platforms and tools.
· Optimize and scale observability of infrastructure for high availability and performance.
· Design intuitive, high-value dashboards and alerting systems that clearly visualize system health and performance.
· Champion automation using scripting, orchestration tools, and AI-driven solutions to reduce manual effort and enable self-healing systems.
· Partner with automation teams to develop and implement automation scripts and workflows.
· Ensure high availability and resilience of mission-critical systems, especially AI/ML workloads.
· Collaborate closely with the Service Management Office and production support teams to drive impactful outcomes and elevate operational success
· Enable methods to reduce mean time recovery (MTTR) and drive continuous operational improvements.
Performance & Reliability Optimization
· Utilize observability data to identify performance bottlenecks, capacity issues, and reliability risks.
· Work with relevant teams to implement improvements based on data-driven insights.
· Establish and execute performance strategy benchmarks utilizing baselines and KPIs.
Team Leadership & Enablement
· Build, mentor, and lead a high-performing team of engineers and specialists in AIOps
· Provide training and documentation to operational teams on leveraging observability platforms for troubleshooting and performance tuning.
· Foster a culture of innovation, continuous learning, and operational excellence.
Cross-Functional Collaboration
· Collaborate with engineering, data science, infrastructure, cybersecurity, and business teams to operationalize AI initiatives and ensure comprehensive observability coverage.
· Serve as a subject matter expert to understand and deliver tailored observability solutions across teams.
Budget & Vendor Management
· Manage departmental budgets and vendor relationships to deliver cost-effective, scalable solutions.