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Senior Application Transition Manager

EPAM Systems


Job Location:

Gurgaon - India

Monthly Salary: Not provided by the employer
Posted: 9 September 2026 (9 hours ago)
Application Deadline: 7 December 2026
Vacancies: 1 Vacancy

Job Summary

This is a high-impact leadership role for a Transition Manager who is ready to shape the future of application transitions combining deep delivery expertise with AI-powered innovation to redefine how complex global IT services are handed over stabilized and scaled.

We are looking for a seasoned Application Transition Manager to lead end-to-end planning solutioning and execution of complex multi-service managed services application development and support/maintenance transitions. This role sits at the intersection of delivery leadership AI-powered modernization and enterprise-scale program governance.

The ideal candidate brings deep hands-on experience in transitioning large application development/support portfolios including custom-built packaged and cloud-native applications and is fluent in harnessing AI tools automation and intelligent accelerators to compress timelines reduce risk and elevate transition quality.

You will operate as the single accountable owner across pre-sales solutioning and live execution partnering closely with the client delivery towers and incumbent vendors to deliver a seamless transition to steady-state operations.

Responsibilities
  • Independently design and own transition solutions for complex outsourcing pursuits across multi-vendor multi-geo multi-stack multi-service (Apps Infra Security Automation Cloud) environments
  • Define transition strategy milestone frameworks resource models and success KPIs for RFP/RFI/SOW responses and contract negotiations
  • Defend the proposed transition solutions and execution approaches to senior Client stakeholders / C-suite audiences (Orals)
  • Design AI-powered transition solutions using GenAI-based knowledge extraction automated documentation generation and intelligent codebase discovery to accelerate solutioning timelines
  • Leverage AI estimating models and effort prediction tools to build data-driven transition business cases and risk-adjusted transition plans during pre-sales
  • Lead transitions of 100 applications spanning custom development microservices APIs data platforms ERP/CRM systems and cloud-native workloads
  • Manage all transition phases: Knowledge Acquisition Shadow Reverse Shadow Parallel Run Stabilization (Hypercare) BAU Handover
  • Oversee structured code and architecture discovery activities codebase walkthroughs dependency mapping tech-debt assessment and environment cataloging
  • Ensure delivery of all transition artifacts: SOPs Runbooks Application Passports Architecture Decision Records (ADRs) RACI matrices and operational documentation
  • Manage Knowledge Acquisition sessions across development teams (onshore/offshore) ensuring structured capture of tribal knowledge design rationale and undocumented dependencies
  • Deploy AI-based code analysis tools (e.g. GitHub Copilot CodeScene SonarQube AI) to accelerate codebase understanding surface tech debt and auto-generate inline documentation during Knowledge Acquisition
  • Use GenAI-powered documentation tools to auto-draft SOPs Runbooks and Application Passports from discovery sessions reducing documentation effort by up to 40%
  • Apply AI-driven dependency mapping tools to visualize application interdependencies integration touchpoints and data flows across complex portfolios
  • Establish and chair Transition Governance Forums weekly/bi-weekly SteerCos RAID reviews milestone checkpoint meetings and executive reporting cadences
  • Maintain a real-time Transition Dashboard tracking milestones knowledge transfer completion risk status team readiness scores and go-live criteria
  • Drive RAID log management (Risks Assumptions Issues Dependencies) and proactively resolve blockers impacting transition timelines
  • Manage 50 active stakeholders client executives product owners architects vendor leads and delivery managers across multiple geographies
  • Use AI-powered project analytics tools and NLP-based status reporting to auto-generate executive dashboards and transition health summaries
  • Define and execute Go-Live Readiness Criteria encompassing access provisioning monitoring setup SLA framework validation on-call rota and escalation paths
  • Lead structured Hypercare operations post-go-live: stabilization sprints defect triage performance baselining and SLA attainment tracking
  • Ensure tooling readiness: ITSM (ServiceNow) observability stack (Dynatrace Splunk Datadog) CMDB accuracy and alerting configuration
  • Integrate AIOps capabilities (anomaly detection predictive alerting) during Hypercare to proactively surface risks before they escalate to incidents
  • Use ML-based SLA prediction models to benchmark incoming team performance trajectories and forecast BAU stabilization timelines
Requirements
  • 1218 years of IT industry experience with significant tenure leading enterprise Application Transition programs
  • Minimum 8 years of hands-on experience transitioning Application Development portfolios within Managed Services or IT Outsourcing environments
  • Proven track record managing transitions of 200 FTEs and 100 applications across multi-geo delivery models
  • Hands-on exposure to AI tools and automation platforms used across the transition lifecycle (code analysis documentation generation test automation AIOps)
  • Experience managing transitions in Agile SAFe Waterfall and Hybrid delivery models; able to adapt governance to match client maturity
  • Demonstrated ability to manage 50 active stakeholders including CXOs Product Owners Architects and Vendor Leads
  • Strong pre-sales experience: RFP/RFI responses SOW development contract reviews and client oral presentations
  • Exposure to multi-domain transitions covering Application Development Application Support Data & Analytics and Integration platforms
Nice to have
  • Skills in DevOps and CI/CD Migration/Management
  • Proficiency in AIOps and Observability
  • Background in GenAI Tooling for Development Prompt Engineering and AI-driven Code Analysis Tools
  • Experience in Cloud Transition (AWS Azure GCP)
  • Certifications such as Anthropic Claude Certified Architect PMP/PRINCE2 Practitioner ITIL Foundation/Managing Professional SAFe Agilist (SA) or SAFe Program Consultant (SPC) AWS/Azure/GCP Cloud Practitioner or Associate or GitHub Copilot / relevant AI/ML practitioner certifications

Required Experience:

Senior Manager