Senior Application Transition Manager

EPAM Systems, Inc.; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems, Inc. is seeking a seasoned Transition Leader to own complex outsourcing transitions across multi-geo environments. You will define strategies, milestones and governance, while presenting to C-suite audiences and shaping AI-powered solutions.

You will drive pre-sales with data-driven business cases, oversee 100+ applications, and manage a broad stakeholder network across geographies. A strong background in AI tooling and cloud transitions is essential.

Qualifications

• 12–18 years of IT experience with enterprise transition programs.
• 8+ years leading transitions for 200+ FTEs and 100+ applications.
• Experience across multi-geo delivery models and client-facing governance.
• Hands-on exposure to AI tools and automation across transition lifecycle.

Responsibilities

• Design and own transition solutions for outsourcing pursuits across multi-vendor, multi-geo environments.
• Define transition strategy, milestones, resource models, and KPIs for RFP/RFI/SOW.
• Present proposed solutions to senior client stakeholders and C-suite audiences.
• Design AI-powered transition solutions using GenAI for knowledge extraction, auto-doc generation, and codebase discovery.
• Lead pre-sales using AI estimating models and data-driven transition plans.
• Oversee transitions of 100+ applications including microservices, data platforms, and cloud workloads.
• Manage all transition phases from Knowledge Acquisition to BAU Handover.
• Coordinate code and architecture discovery activities and documentation like ADRs and Runbooks.
• Coordinate knowledge capture across onshore/offshore teams and ensure traceability.
• Deploy AI-based code analysis tools to accelerate understanding and surface tech debt.
• Use GenAI tooling to auto-draft SOPs and runbooks, reducing documentation effort.
• Establish Transition Governance Forums and real-time dashboards.
• Drive RAID log management and unblock blockers.
• Manage 50+ active stakeholders across geographies.
• Use ML/NLP status reporting to generate executive dashboards and health summaries.
• Define Go-Live readiness and Hypercare operations post-go-live.

Skills

Stakeholder management

Pre-sales experience

AI tooling exposure

Agile/SAFe/Hybrid delivery

Cloud transition capabilities

Tools

GenAI tooling

AI-based code analysis tools

CI/CD platforms

AIOps platforms

Job description

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 elevate 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