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Senior Application Transition Manager

Office in India: Gurugram, & 4 others
Program Management& 13 others
relocation
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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
  • 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