Project & service delivery leader / Bengaluru, India / 6+ years

I lead global technology delivery with measurable business impact.

I’m Sai. I lead global technology delivery at scale: 46 engineers, 50+ applications, and 50K+ users across 24/7 US and UK operations. I oversee an engagement generating $2.02M in annual project revenue, sustain 99%+ SLA adherence, and have delivered 160+ AI and automation use cases that saved 33,000+ cumulative hours.

Sai Sharan P
Sai Sharan PProject Manager · Service Delivery Manager · Product ExpertConnect on LinkedIn
Annual engagement revenue
Application-support engineers
Applications supported
Users served globally
SLA adherence
Average monthly backlog reduction in 5 months
P1 & P2 MTTR reduction over 6 months
AI & automation use cases
Cumulative hours saved
Hours saved per month on average
Automation team
Tickets weekly on average
Core expertise
  • Project governance
  • Scope / schedule / budget
  • RAID & dependencies
  • Sprint planning
  • 24/7 US/UK delivery
  • Incident / problem / change
  • SLA & KPI management
  • CSI
  • Release & service transition
  • CAB
  • Contracts & SOW renewals
  • Capital allocation & procurement
  • People leadership
  • Executive reporting
  • Automation delivery
  • UAT & go-live
  • Benefits tracking
  • Lean / Six Sigma
  • Shift-Left
  • ITIL 4 / Agile / Hybrid
  • ServiceNow / Jira
  • StackStorm / Alteryx
  • AI & self-healing automation
01 Executive profile

Service performance.
Business accountability.

I bring 6+ years of delivery leadership for a global media enterprise, progressing from a 15-member infrastructure Command Center to leading 46 application-support engineers. My scope covers service performance, project execution, commercial oversight, and people development.

At LTM, supporting Paramount Skydance’s global media supply chain, I combine day-to-day service accountability with longer-term improvement. I manage stakeholder expectations, delivery risks, and commercial commitments while leading automation from requirements review through UAT and go-live.

  • Operational improvement: 40% lower average monthly backlog and 50% lower P1/P2 resolution time, with defined baselines and measurement periods
  • Commercial responsibility: contracts, invoices, SOW renewals, capital allocation, and procurement for an engagement generating $2.02M in annual project revenue
  • Delivery ownership: internal and external projects delivered on schedule and within approved budgets, with release approvals and service transition
  • People and capacity: leadership of 46 engineers and a 6-FTE automation team; process improvements released capacity equivalent to four full-time roles
Open to conversations about
Service Delivery ManagerIT Project ManagerTechnical Program ManagerIT Operations ManagerProduct Manager
02 Experience

Increasing scope.
Measurable delivery.

From infrastructure incident response to application-support leadership, project governance, and commercial responsibility for a global media engagement.

May 2023 – present
LTM | Paramount Skydance · Application Support · Global Media Supply Chain

Service Delivery Manager

Lead 46 engineers in 24/7 US/UK support for 50+ applications serving 50K+ users globally, handling an average of 200 tickets weekly.

  • Sustained 99%+ SLA adherence for 50+ applications serving 50K+ users globally, leading 46 engineers in 24/7 US/UK support and handling an average of 200 tickets weekly.
  • Manage an engagement with $2.02M annual project revenue, including contracts, invoices, statement of work (SOW) renewals, capital allocation, purchase requisitions and purchase orders.
  • Reduced average monthly ticket backlog by 40%, from 180 to 108 over 5 months, using ServiceNow and Jira trend dashboards, recurring-incident analysis and structured problem management.
  • Reduced average monthly mean time to resolve (MTTR) by 50% over 6 months for P1 incidents (5 to 2.5 hours) and P2 incidents (42 to 21 hours) through continual service improvement (CSI), self-healing automations, improved incident workflows and real-time service visibility.
  • Drove a High Maturity improvement initiative, reducing resource occupancy from 85% to 83% and sustaining the 83% target through process optimisation and CSI.
  • Coordinate application support escalations, prioritise defect fixes, and manage release schedules and operational risks.
  • Delivered internal and external projects on schedule and within approved budgets; maintain RAID logs, track dependencies, coordinate steering committees and plan sprints.
  • Participated in Change Advisory Board (CAB) reviews; coordinated release approvals, service acceptance, knowledge transfer and post-go-live monitoring.
  • Delivered 160+ AI and automation use cases across StackStorm workflows, Alteryx reporting and AI solutions, saving 33,000+ cumulative hours and an average of 800+ hours per month.
  • Managed a 6-FTE automation team through requirements review, prioritisation by expected time savings, development tracking, user acceptance testing (UAT) sign-off and go-live planning.
  • Released capacity equivalent to 4 FTEs by applying Lean and Six Sigma to incident workflows and operational process automation.
  • Manage onboarding, performance appraisals, coaching, shift planning and resource utilisation for the 46-engineer application support team.
  • Lead daily US/UK stakeholder touchpoints and weekly service reviews; translate service performance and operational KPIs into weekly and monthly executive reports.
Jun 2020 – May 2023
LTM | Paramount Skydance · Infrastructure / Command Center

IT Operations Lead / Incident Manager

Led a 15-member Command Center team responsible for infrastructure monitoring, incident response, and multi-tower IT operations.

  • Led a 15-member Command Center team responsible for infrastructure monitoring, incident response and multi-tower IT operations.
  • Directed critical and major incident response, coordinating infrastructure teams to restore services and meet recovery time objective (RTO) targets.
  • Maintained zero change-attributable service disruptions by executing change-management controls throughout the project lifecycle.
  • Transferred L1/L2 activities from infrastructure towers into the Command Center through Shift-Left initiatives, improving operating efficiency and reducing escalations.
  • Monitored infrastructure health using New Relic, Nagios, BigPanda and SolarWinds, identifying and resolving potential issues before client impact.
Jun 2019 – Jul 2019
Inventeron Technologies and Business Solutions LLP

Machine Learning Intern

Completed applied projects in supervised learning and neural networks, building a technical foundation in artificial intelligence and machine learning.

03 Selected case studies

Delivery decisions.
Demonstrated results.

Selected examples of automation delivery, project and commercial governance, and service improvement. Open each for the scope, my contribution, and measured outcomes.

01Automation160+ automation use cases, delivered through a dedicated teamManaged a 6-FTE team across StackStorm workflows, Alteryx reporting, and AI solutions, from requirements to go-live.33,000+ cumulative hours saved

Delivery scope

AI and automation delivery within the global application-support engagement, spanning operational workflows, reporting, and AI solutions.

My accountability

Managed a 6-FTE automation team through requirements review, prioritisation by expected time savings, development tracking, user acceptance testing (UAT) sign-off, and go-live planning.

Decisions and execution

Prioritised use cases by expected time savings and coordinated development and acceptance across StackStorm, Alteryx, and AI solutions.

Measured results

Delivered 160+ AI and automation use cases, saving 33,000+ cumulative hours and an average of 800+ hours per month. Lean, Six Sigma, and operational process automation also released capacity equivalent to four full-time roles.

02Global operationsProject delivery with commercial accountabilityCombined project governance and service transition with contracts, SOW renewals, and procurement for a global engagement.$2.02M annual project revenue

Commercial scope

Manage an engagement generating $2.02M in annual project revenue, including contracts, invoices, statement of work (SOW) renewals, capital allocation, purchase requisitions, and purchase orders.

Project governance

Maintain RAID logs covering risks, assumptions, issues, and dependencies; track delivery dependencies, coordinate steering committees, and plan sprints against scope, schedule, and approved budgets.

Release and service transition

Participate in Change Advisory Board (CAB) reviews and coordinate release approvals, service acceptance, knowledge transfer, and post-go-live monitoring.

Delivery outcome

Delivered internal and external projects on schedule and within approved budgets, with daily US/UK stakeholder touchpoints and weekly and monthly executive reporting.

03ITSMReducing the support backlog through problem managementReduced average monthly backlog from 180 to 108 tickets using ServiceNow and Jira insights and recurring-incident analysis.40% backlog reduction in 5 months

Starting point

Average monthly ticket backlog stood at 180 within the 24/7 global application-support engagement.

My accountability

Led the 46-engineer support team and the service-improvement work for Paramount Skydance’s global media supply chain through LTM.

Decisions and execution

Used ServiceNow and Jira trend dashboards to analyse recurring incidents and drive structured problem management.

Measured results

Reduced average monthly ticket backlog by 40%, from 180 to 108 over 5 months.

04ITSMHalving resolution time for P1 and P2 incidentsCombined continual service improvement, self-healing automation, and improved incident workflows to accelerate resolution.50% lower MTTR over 6 months

Starting point

Average monthly mean time to resolve (MTTR) was 5 hours for P1 incidents and 42 hours for P2 incidents.

My accountability

Led continual service improvement (CSI) as Service Delivery Manager across the 24/7 application-support engagement.

Decisions and execution

Drove CSI, self-healing automations, improved incident workflows, and real-time service visibility.

Measured results

Cut average monthly P1 MTTR from 5 to 2.5 hours and P2 MTTR from 42 to 21 hours over 6 months: a 50% reduction for each priority.

05Global operationsReliable service across application and infrastructure operationsLed teams of 15 and 46 across successive roles, with incident, change, and service-performance accountability.99%+ SLA adherence in application support

Application-support scope

Lead 46 engineers supporting 50+ applications serving 50K+ users globally, with 24/7 US/UK coverage and an average of 200 tickets weekly.

Application-support result

Sustained 99%+ SLA adherence through service governance and continual improvement.

Earlier infrastructure role

Led a 15-member Command Center team, directed major incident response across infrastructure towers, and coordinated service restoration against recovery time objective (RTO) targets.

Infrastructure result

Maintained zero change-attributable service disruptions through change-management controls. Shift-Left initiatives transferred L1/L2 activities into the Command Center, improving efficiency and reducing escalations.

06AutomationRovo AI Agent for Runbook FinderBuilt a focused assistant to turn ticket context into relevant Confluence runbooks and suggested resolution steps.30 to 60 minutes returned each day

Operational problem

The team spent time reading incoming tickets, searching Confluence, and rewriting resolution steps already documented in runbooks.

My contribution

Built the Rovo AI Agent for Runbook Finder around the team’s existing support workflow.

How it works

The assistant reads an incoming ticket, interprets the request, retrieves the relevant Confluence runbook, and suggests resolution steps.

Team benefit

Returned 30 to 60 minutes of team time each day by reducing repeated knowledge search and rewriting.

04 Product concepts

Product thinking,
grounded in customer problems.

Independent product proposals exploring customer problems and possible solutions. These articles show my approach to problem framing, prioritisation, and solution design. They are concept work, rather than shipped product outcomes.

01Independent product proposal

I Started with 22 Customer Complaints. The Answer Was a Smaller Amazon Product.

Exploring how a focused product concept can turn repeated customer complaints into a simpler, more purposeful experience.

Read on Medium
02Independent product proposal

Restoring trust in Zepto’s dark stores with ₹30 to ₹40 AI inspections.

A product concept exploring ₹30 to ₹40 AI inspections for Zepto's dark stores, and how more visible operations could help rebuild customer trust.

Read on Medium
03Independent product proposal

Google Maps can verify the hotel. Who verifies the booking channel?

A product case study on separating trust in a real hotel from trust in its booking channels, using channel provenance and safer handoffs before travellers leave Google Maps.

Read on Medium
04Independent product proposal

The ride ended, but the fare is different

An Uber product concept that uses trip data to explain unexpected fare changes and correct clear errors before support is needed, while preparing uncertain cases for review.

Read on Medium
05Independent product proposal

Four Reliability Incidents, One Product Question: Can ChatGPT Users Tell Whether Their Work Is Safe?

A product proposal for a Task Integrity Layer that shows whether a ChatGPT file is received, processing, delayed, recovering, failed, or ready, while allowing retries only when they are safe.

Read on Medium
05 Expertise

The skills behind
the outcomes.

Capabilities I apply across project delivery, service performance, commercial governance, and team leadership.

01Delivery & leadership capabilities
Project & commercial governance

Scope, schedule, approved budgets, RAID, dependencies, steering committees, contracts, invoices, SOW renewals, and procurement.

Service & operational performance

24/7 support, incident/problem/change management, SLA/KPI governance, CSI, release management, and service transition.

People & stakeholder leadership

Onboarding, performance appraisals, coaching, shift planning, resource utilisation, US/UK stakeholder management, and executive reporting.

Automation delivery

Requirements review, use case prioritisation, development tracking, UAT sign-off, go-live planning, and benefits tracking.

02Project & collaboration tools
Planning & service management

Jira, Jira Service Management, ServiceNow, and JQL.

Knowledge & collaboration

Confluence, SharePoint, and Slack.

Reporting & product planning

Excel, PowerPoint, and Aha!.

03Automation platforms & AI tools
Workflow & reporting automation

StackStorm workflow automation, Alteryx report automation, and self-healing automation.

AI assistants & development

GPT, Claude, Microsoft Copilot, OpenAI Codex, and Confluence Rovo AI.

AI delivery methods

Agentic AI and prompt engineering.

06 How I work

Leadership across
the delivery lifecycle.

I bring delivery plans, commercial commitments, team capacity, and operational risks into the same governance conversation.

01Plan delivery

Define scope, schedules, sprint priorities, dependencies, and RAID logs.

02Own commercials

Manage contracts, invoices, SOW renewals, capital allocation, and procurement.

03Develop people

Coach engineers, manage appraisals, and plan shifts and resource utilisation.

04Control releases

Coordinate CAB reviews, release approvals, service acceptance, and knowledge transfer.

05Align stakeholders

Run daily US/UK touchpoints, weekly service reviews, and executive reporting.

06Measure improvement

Track service KPIs, prioritise automation by time savings, and measure delivery benefits.

My leadership combines team development with service accountability: engineers have coaching, performance reviews, shift plans, and clear operational priorities.

I use executive reporting to connect service performance and delivery risks with the decisions stakeholders need to make.

07 Practical AI & automation

AI and automation with measured results.

I manage automation as a delivery discipline: prioritise the operational problem, guide implementation, secure acceptance, and track the benefit. The portfolio spans StackStorm workflows, Alteryx reporting, and AI solutions.

From requirements to go-live

01Review requirements with the 6-FTE automation team02Prioritise use cases by expected time savings03Track development across workflows, reporting, and AI04Coordinate UAT sign-off and go-live planning05Track benefits and operational time savings

Results & responsible adoption

My focus is measurable operational value, with human oversight, clear ownership, and protection for client and service data.

  • Human oversight
  • Information security
  • Data privacy
  • Approved enterprise tooling
  • Auditability
  • Measured operational value
800+ hours per monthsaved on average across the AI and automation portfolio

The Rovo runbook assistant is one focused example: it reads ticket context, finds the relevant Confluence runbook, and suggests resolution steps, returning 30 to 60 minutes to the team each day.

08 Credentials

Education &
continued learning.

A computer science foundation, formal project management training, and continued development in service management, cloud, and AI.

01

Education

REVA University
Bachelor of Technology in Computer Science and Engineering
2016–2020 · 8.24 CGPA

02

Certifications & professional development

  • Google Project Management CertificateGoogle · Issued Oct 2025Credential ID RW46AYP5M7GH
  • IT Service Management FoundationsPluralsight · Issued Feb 2023Credential ID REP ID 4127
  • AWS Technical ProfessionalAmazon Web Services (AWS) · Issued Mar 2023Credential ID ID E-VX29K1
  • Azure Fundamentals CertificationMicrosoft
  • LTM Certified Cloud & Infrastructure Services ProfessionalCIS Academy at LTM · Issued Jun 2020
  • Building with the Claude APIAnthropic · Issued Aug 2026Credential ID ezs56p5jz4qw
  • Introduction to Model Context ProtocolAnthropic · Issued Aug 2026Credential ID k4b95op2vaom
  • Introduction to Agent SkillsAnthropic · Issued Jul 2026Credential ID muxc86o9832i
  • Claude Code in ActionAnthropic · Issued Jul 2026Credential ID 2876srj5ae6n
  • Claude 101Anthropic · Issued Mar 2026Credential ID fbhe6xsfzr2d
  • LTM Certified Gen AI: Foundation CourseLTM · Issued Apr 2024
  • HACKENG - IT Security & Ethical Hacking
03

Honors & awards

  • Certificate of AppreciationLTM · Issued Sep 2025Recognised for customer centricity and service stabilisation.
  • Certificate of AchievementLTM · Issued Jan 2023Recognised for major-incident leadership and team mentoring.
  • Certificate of AppreciationLTM · Issued Feb 2022Recognised for outstanding performance, service, and dedication.
  • Best Project for DeliveryLTM · Issued Jun 2021Team recognition for consistent, on-time, high-quality delivery.
04

Technical toolkit & methods

Project & ITSM tools

Jira · Jira Service Management · ServiceNow · JQL · Confluence · SharePoint · Slack · Excel · PowerPoint · Aha!

Methods & frameworks

ITIL 4 · Agile · Waterfall · Hybrid · SDLC · Lean/Six Sigma · Shift-Left

AI & automation

StackStorm workflow automation · Alteryx report automation · GPT · Claude · Microsoft Copilot · OpenAI Codex · Agentic AI · Confluence Rovo AI · Self-healing automation · Prompt engineering

Cloud & infrastructure

AWS: EC2, EBS, VPC, IAM, CloudWatch · Azure Fundamentals · Active Directory · DNS · MSSQL · SAP Basis · SaaS · Windows Server · Linux Server

Monitoring & security

New Relic · Nagios · BigPanda · SolarWinds · Wireshark

Development & integration

SQL · Python · APIs

Design & testing

Figma · Maze design testing · Google Stitch

09 Recruiter enquiries

Hiring for delivery
with real accountability?

Let’s discuss service delivery, IT project management, technical program management, or IT operations roles where global team leadership, commercial oversight, and automation delivery matter. I also welcome product conversations grounded in operational and customer problems.

Recruiter & leadership enquiriesReplies by email or LinkedIn

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