AIOps, Observability & Continuous Service Improvement (Primary Focus):
- Design and implement observability solutions enterprise-grade AIOps solutions using IBM Watson AIOps, Splunk ITSI, Dynatrace, and Datadog
 - Integrate AIOps platforms with ITSM, CMDB, and DevOps pipelines to enable intelligent operations and automation.
 - Integrate AIOps platforms with ITSM tools (ServiceNow, BMC), CMDB, and DevOps pipelines to enable intelligent automation
 - Develop ML-driven monitoring frameworks for logs, metrics, and traces using OpenTelemetry, Prometheus, and Grafana
 - Implement predictive incident management with anomaly detection, event correlation, and automated root cause analysis
 - Design real-time operational dashboards and alerting systems to improve MTTR and service reliability
 - Lead Continuous Service Improvement (CSI) initiatives to enhance service quality, performance, and reliability.
 - Analyse incident trends, service metrics, and customer feedback to identify and implement improvement opportunities.
 - Establish KPIs, SLOs, and SLAs to measure and improve service performance
 - Collaborate with stakeholders to implement process improvements and automation across IT operations.
 
FinOps & Cloud Cost Optimization (Secondary Focus):
- Develop and implement FinOps frameworks for AWS, Azure, and GCP environments
 - Collaborate with finance, engineering, and operations teams to align cloud usage with business and budgetary goals.
 - Provide insights and recommendations for cost-saving opportunities across multi-cloud environments.
 - Develop dashboards and reports for cloud spend visibility, forecasting, and anomaly detection.
 - Assist in budgeting, chargeback/showback models, and cost allocation strategies.
 - Advise clients on cloud financial governance and cost-efficient architecture design
 
Client Engagement, Advisory & Consulting Competencies
- Act as trusted advisor to C-level executives on AIOps and FinOps transformation roadmaps
 - Lead solution presentations, workshops, and proof-of-concepts for client engagements
 - Develop business cases and ROI analyses for AIOps and FinOps initiatives
 - Translate technical capabilities into measurable business value propositions
 - Proven experience in client-facing advisory roles
 - Excellent stakeholder management and executive communication skills
 - Ability to translate technical concepts into business value
 - Strong problem-solving and analytical thinking
 
Thought Leadership & Practice Development
- Create whitepapers, case studies, and best practice guides for AIOps and FinOps
 - Mentor team members and contribute to practice capability development
 - Stay current with emerging trends in Generative AI for IT operations (GenAIOps) and MLOps
 
Required Skills & Experience:
- 12–15 years of experience in IT Operations, Monitoring, or Cloud Infrastructure.
 
Hands-on expertise in:
- AIOps Platforms: IBM Watson AIOps, Splunk (Core & ITSI), Dynatrace (Davis AI), Datadog
 - Observability Stack: OpenTelemetry, Prometheus, Grafana, ELK
 - Cloud & FinOps Tools: AWS Cost Explorer, Azure Cost Management, CloudHealth, Kubecost
 - Strong understanding of AIOps principles: event correlation, anomaly detection, RCA, automation.
 - Solid experience in FinOps practices, cloud cost optimization, and financial governance.
 - Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid environments.
 - Proficiency in scripting (Python, Shell, PowerShell) for automation and integration.
 - Knowledge of ITIL, DevOps, and Infrastructure as Code (IaC).
 
Preferred Certifications (Minimum 2):
- IBM Certified Specialist – Watson AIOps
 - Splunk Core Certified Power User / Admin / ITSI
 - Dynatrace Associate / Professional Certification
 - Datadog Certified Monitoring Professional
 - FinOps Certified Practitioner
 - ITIL v4 Foundation
 
Education & Requirements:
- Bachelor's or Master's in Computer Science, Data Science, or related field
 - MBA preferred for consulting roles
 - Willingness to travel for client engagements