Revenue Forecasting, SOW creation and scope tracking, P&L Management, Program Management, People Management, Project Analytics, Escalation Management
Job requirements
Service Delivery Manager
Role Overview
We are seeking a highly experienced Service Delivery Manager to lead large-scale, complex technology engagements across Data, Cloud, and AI domains. The role carries full lifecycle responsibility — from service transition to steady-state delivery — ensuring client satisfaction, adherence to scope, and consistent service excellence.
Key Responsibilities
Act as the primary point of contact for service delivery, managing client and business stakeholder relationships.
Ensure successful end-to-end delivery of services and projects, meeting agreed scope, timelines, budget, and quality metrics.
Oversee incidents, problem, and change management processes in alignment with ITIL/SDLC best practices.
Monitor day-to-day service operations across infrastructure, applications, and business systems.
Collaborate with Product, Engineering, QA, Operations, and Account Managers to ensure seamless delivery and resolve escalations.
Prepare and present service performance dashboards, governance reviews, and reports for senior leadership and stakeholders.
Manage resource planning, effort estimation, and financial forecasting to ensure efficient delivery.
Drive process improvements, automation, and cost optimization, leveraging AI and emerging technologies where applicable.
Lead and support service transition and transformation projects, ensuring smooth handover into steady-state operations.
Ensure compliance with IT governance, risk management, security, and regulatory standards.
Mentor, coach, and guide delivery teams, ensuring alignment with organizational goals and performance standards.
Requirements
14–18 years of experience in the software industry with a proven track record in service delivery of large-scale, complex technology environments.
6+ years in service delivery /program management, with end-to-end ownership of delivery.
Strong technical proficiency in Data and Cloud technologies, with deep understanding of enterprise environments.
Exposure to leveraging AI/automation to improve delivery productivity and efficiency.
Hands-on experience with Agile methodologies (Scrum, SAFe, Kanban, Hybrid Agile).
Strong stakeholder management, communication, and executive presentation skills.
Excellent organizational and leadership abilities with capability to manage distributed teams.
Strategic thinker with strong problem-solving and decision-making capabilities.
Education & Certifications (Preferred)
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
