Senior Application Transition Manager

EPAM Systems; Maharashtra; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

EPAM Systems is seeking a seasoned Application Transition Manager to lead end-to-end planning, solutioning, and execution of complex transitions across multi-service managed services, application development, and support. The role blends delivery leadership with AI-powered modernization and enterprise governance to compress timelines, reduce risk, and elevate transition quality.

You will own pre-sales solutioning and live execution, coordinating with clients, delivery towers, and vendors to

Qualifications

• 12–18 years of IT experience with enterprise Application Transition programs.
• 8+ years transitioning Application Development portfolios in MSP/ITO environments.
• Proven track record managing transitions of 200+ FTEs and 100+ applications across multi-geo delivery models.

Responsibilities

• Design and own transition solutions for complex outsourcing pursuits across multi-vendor, multi-geo, multi-stack, multi-service environments.
• Define transition strategy, milestone frameworks, resource models, and success KPIs for RFP/RFI/SOW responses and contract negotiations.
• Lead transitions of 100+ applications spanning custom development, microservices, APIs, data platforms, ERP/CRM systems, and cloud-native workloads.

Skills

AI tools

Pre-sales

Delivery governance

Tools

GitHub Copilot

CodeScene

SonarQube AI

Dynatrace

Splunk

Datadog

ServiceNow

CMDB

Job description

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 escalated to incidents
• Use ML-based SLA prediction models to benchmark incoming team performance trajectories and forecast BAU stabilization timelines

Requirements

• 12–18 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