EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
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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
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Define transition strategy, milestone frameworks, resource models, and success KPIs for RFP/RFI/SOW responses and contract negotiations
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Defend the proposed transition solutions and execution approaches to senior Client stakeholders / C-suite audiences (Orals)
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Design AI-powered transition solutions using GenAI-based knowledge extraction, automated documentation generation, and intelligent codebase discovery to accelerate solutioning timelines
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Leverage AI estimating models and effort prediction tools to build data-driven transition business cases and risk-adjusted transition plans during pre-sales
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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
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Oversee structured code and architecture discovery activities — codebase walkthroughs, dependency mapping, tech-debt assessment, and environment cataloging
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Ensure delivery of all transition artifacts: SOPs, Runbooks, Application Passports, Architecture Decision Records (ADRs), RACI matrices, and operational documentation
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Manage Knowledge Acquisition sessions across development teams (onshore/offshore), ensuring structured capture of tribal knowledge, design rationale, and undocumented dependencies
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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
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Use GenAI-powered documentation tools to auto-draft SOPs, Runbooks, and Application Passports from discovery sessions, reducing documentation effort by up to 40%
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Apply AI-driven dependency mapping tools to visualize application interdependencies, integration touchpoints, and data flows across complex portfolios
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Establish and chair Transition Governance Forums — weekly/bi-weekly SteerCos, RAID reviews, milestone checkpoint meetings, and executive reporting cadences
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Maintain a real-time Transition Dashboard tracking milestones, knowledge transfer completion, risk status, team readiness scores, and go-live criteria
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Drive RAID log management (Risks, Assumptions, Issues, Dependencies) and proactively resolve blockers impacting transition timelines
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Manage 50+ active stakeholders — client executives, product owners, architects, vendor leads, and delivery managers — across multiple geographies
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Use AI-powered project analytics tools and NLP-based status reporting to auto-generate executive dashboards and transition health summaries
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Define and execute Go-Live Readiness Criteria encompassing access provisioning, monitoring setup, SLA framework validation, on-call rota, and escalation paths
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Lead structured Hypercare operations post-go-live: stabilization sprints, defect triage, performance baselining, and SLA attainment tracking
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Ensure tooling readiness: ITSM (ServiceNow), observability stack (Dynatrace, Splunk, Datadog), CMDB accuracy, and alerting configuration
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Integrate AIOps capabilities (anomaly detection, predictive alerting) during Hypercare to proactively surface risks before they escalate to incidents
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Use ML-based SLA prediction models to benchmark incoming team performance trajectories and forecast BAU stabilization timelines
Requirements
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12–18 years of IT industry experience with significant tenure leading enterprise Application Transition programs
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Minimum 8 years of hands-on experience transitioning Application Development portfolios within Managed Services or IT Outsourcing environments
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Proven track record managing transitions of 200+ FTEs and 100+ applications across multi-geo delivery models
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Hands-on exposure to AI tools and automation platforms used across the transition lifecycle (code analysis, documentation generation, test automation, AIOps)
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Experience managing transitions in Agile, SAFe, Waterfall, and Hybrid delivery models; able to adapt governance to match client maturity
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Demonstrated ability to manage 50+ active stakeholders, including CXOs, Product Owners, Architects, and Vendor Leads
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Strong pre-sales experience: RFP/RFI responses, SOW development, contract reviews, and client oral presentations
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Exposure to multi-domain transitions covering Application Development, Application Support, Data & Analytics, and Integration platforms
Nice to have
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Skills in DevOps and CI/CD Migration/Management
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Proficiency in AIOps and Observability
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Background in GenAI Tooling for Development, Prompt Engineering, and AI-driven Code Analysis Tools
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Experience in Cloud Transition (AWS, Azure, GCP)
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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
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
