Project Manager - AI Ops

Tata Consultancy Services Limited

4-8 Years

Singapore

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Job Description

AIOps and AI Use Case Discovery
Identify opportunities to leverage Azure AI Foundry and Microsoft Copilot across Infrastructure and IT Operations.
Analyze operational pain points and define AI-driven solutions for incident, problem, event, and change management.
Conduct workshops with infrastructure, application, cloud, and service management teams to identify automation opportunities.
Develop and prioritize AI/AIOps use cases based on business value, operational impact, complexity, and ROI.
Create business cases and benefits realization plans for AI adoption initiatives.
Infrastructure & Application Operations Analysis
Analyze current-state Infrastructure and Application Support processes.
Assess operational workflows across:
Incident Management
Event Management
Problem Management
Change Management
Service Request Management
Capacity Management
Availability Management
Knowledge Management
Identify opportunities to improve operational efficiency through predictive analytics and automation.
Define future-state operating models incorporating AI-driven workflows.
Monitoring, Observability & Service Intelligence
Analyze monitoring and observability data from:
SolarWinds
Instana
Azure Monitor
ServiceNow Event Management
Work with operations teams to improve alert quality and reduce alert noise.
Define requirements for:
Event Correlation
Alert Deduplication
Anomaly Detection
Predictive Incident Identification
Root Cause Analysis
Service Health Dashboards
Support the integration of operational intelligence into AI-driven workflows.
ServiceNow & ITSM Transformation
Collaborate with ServiceNow teams to improve ITSM workflows leveraging AI and automation.
Define requirements for AI-assisted:
Incident Triage
Ticket Categorization
Knowledge Article Recommendations
Major Incident Management
Automated Assignment Routing
Service Request Automation
Support ServiceNow workflow enhancements and process optimization initiatives.
Develop AI-assisted support models leveraging Microsoft Copilot capabilities.
Azure AI Foundry & Copilot Enablement
Collaborate with AI engineering teams to define business requirements for AI agents and copilots.
Assist in designing AI-powered operational assistants for:
Incident Analysis
Operational Reporting
Root Cause Investigation
Knowledge Retrieval
Runbook Recommendations
Change Risk Assessment
Define prompts, workflows, guardrails, and business rules for AI-powered solutions.
Measure and track AI adoption and business outcomes