SLA adherence
Across global service operations
Bengaluru, India / 6+ years in global technology operations
Service Delivery Manager · IT Project Manager
I lead a 46-person application-support team across US and UK shifts, combining service delivery, project governance, ITSM, and automation to improve reliability.
I progressed from IT Operations Lead and Incident Manager to Service Delivery Manager. That experience helps me connect technical response, service governance, and executive decision-making.
Today, I lead 24/7 application support for Paramount Skydance's global media supply chain through LTM, with a 46-person team operating across US and UK shifts.
Verified outcomes from global application support, service management, process improvement, and operational governance.
Across global service operations
Through dashboards and problem management
Through adopted workflow redesign
Across US and UK shifts
24/7 operating model
In the Command Center role
Roles, dates, team scope, and outcomes reconciled across the resume and LinkedIn profile.
Lead a 46-person cross-functional application-support team across US and UK shifts for the global media supply chain.
Led a 15-person cross-skilled Command Center team supporting infrastructure monitoring, incident management, and multi-tower IT operations.
Completed applied projects in supervised learning and neural networks, building a technical foundation in artificial intelligence and machine learning.
Source-backed examples of service improvement, operational leadership, and applied automation.
A 24/7 application-support team managed the global media supply chain for Paramount Skydance.
The ticket backlog and recurring incidents needed clearer operational visibility and stronger problem-management follow-through.
As Service Delivery Manager, I led the 46-person cross-functional support team across US and UK shifts.
I built ServiceNow and Jira trend dashboards and strengthened recurring-incident identification and problem-management routines.
Shift Leads, L2 engineers, and US and UK stakeholders used the same operating view.
The ticket backlog reduced by 40%.
ServiceNow, Jira, trend dashboards, problem management, and KPI reporting.
The documented levers were operational visibility and stronger problem management.
The application-support program tracked resolution performance across a 24/7 global service.
Mean Time to Resolve and escalation frequency needed improvement.
I led the service-improvement work as Service Delivery Manager.
I applied Lean Six Sigma workflow redesign, supported formal adoption across the program, and improved real-time operational visibility.
The changes were adopted across the program and reported through daily governance and US and UK reviews.
Mean Time to Resolve improved by 50%, and escalation frequency reduced.
Lean, Six Sigma, ServiceNow, Jira, operational dashboards, and continual improvement.
The verified improvement came from workflow redesign and real-time visibility.
The application-support program included operational workflows that could be automated.
The goal was to return skilled capacity to higher-value initiatives.
I applied Lean and Six Sigma principles to streamline workflows and lead process automation.
I automated operational workflows and used the released capacity for higher-value initiatives.
The work supported the 46-person application-support program.
The automation released capacity equivalent to four full-time roles.
Process automation, Lean, Six Sigma, ServiceNow, Jira, and operational reporting.
The result was measured by the capacity returned to higher-value work.
My scope progressed from a 15-person Command Center team to a 46-person application-support team serving global operations.
Both roles required reliable incident response, change control, KPI reporting, and coordination across US and UK stakeholders.
I led the teams, owned daily operational governance, and managed executive and stakeholder reporting.
I coordinated major incidents, applied change controls, monitored service health, and ran daily and weekly reviews.
The work covered infrastructure towers, application support, Shift Leads, L2 engineers, and US and UK stakeholders.
The application-support role sustained 99%+ SLA adherence. The Command Center role recorded zero change-attributable disruptions.
ServiceNow, Jira, New Relic, Nagios, BigPanda, SolarWinds, ITIL, and change management.
The evidence connects reliable service performance with disciplined governance and operational visibility.
The team repeatedly opened tickets, read the context, searched Confluence, and rewrote resolution steps that already existed in runbooks.
Ticket triage and knowledge retrieval were taking close to an hour of team time each day.
I built the Rovo AI Agent for Runbook Finder for the support-delivery workflow.
The assistant reads an incoming ticket, interprets the request, retrieves the relevant Confluence runbook, and suggests resolution steps.
The agent supported the application-support team handling incoming tickets and runbook-based resolution work.
The team regained 30 to 60 minutes each day for client-value work.
Confluence Rovo AI, support runbooks, ticket context, and suggested resolution steps.
A narrow assistant was useful because it removed repeat search and rewriting from an existing workflow.
Verified capabilities drawn from project delivery, 24/7 service operations, leadership, and automation work.
The recurring leadership work documented across service delivery, incident management, reporting, and improvement.
I lead 46 cross-functional Shift Leads and L2 engineers across US and UK time zones.
I translate operational KPIs into executive reporting and use daily governance to keep service work aligned.
The Rovo runbook assistant is the clearest example: a focused tool built around work the support team already did every day.
Useful service automation still needs an approved tool, clear ownership, and protection for client and operational data.
Academic and professional credentials reconciled with Sai's LinkedIn profile.
REVA University
Bachelor of Technology, Computer Science & Engineering
2016-2020 · 8.24 CGPA
Best Project for Delivery, 2021
Awarded by LTM for consistent service delivery and transparent client KPI reporting.
Jira · Jira Service Management · ServiceNow · JQL · Confluence · SharePoint · Slack · Excel · PowerPoint · Aha!
ITIL 4 · Project Governance · Waterfall · Agile · Hybrid · SDLC · Incident Management · Change Management · Problem Management · Product Management
GPT · Claude · Microsoft Copilot · OpenAI Codex · Agentic AI · Confluence Rovo AI · AI-driven Process Automation · Prompt Engineering · Google Stitch
AWS: EC2, EBS, VPC, IAM, CloudWatch · Azure Fundamentals · Active Directory · DNS · MSSQL · SAP Basis · SaaS · Windows Server · Linux Server
New Relic · Nagios · BigPanda · SolarWinds · Wireshark
SQL · Python · APIs · Figma · Maze design testing