Rishabh Agarwal

About Rishabh Agarwal

Project Manager – Engineering Transformation with 12+ years of experience leading complex, multi-track technology programs for global enterprises. Strong focus on program and project management, delivery governance, stakeholder alignment, and execution excellence, with a proven ability to deliver large-scale transformation initiatives across distributed teams.I specialize in managing end-to-end transformation programs, including roadmap definition, planning, dependency management, risk mitigation, and benefits realization. My experience spans coordinating cross-functional teams of architects, DevOps engineers, business analysts, and delivery leads to ensure predictable, on-time, and on-budget delivery of concurrent enterprise initiatives.In my current role, I lead large-scale engineering transformation programs for Fortune 500 clients, embedding structured delivery governance and Live Engineering practices to improve visibility, control, and decision-making. I have successfully managed the enterprise rollout of GitHub Copilot for 1,500+ engineers, establishing program governance models, adoption metrics, execution cadence, and reporting mechanisms across global delivery centers.I have led multiple initiatives focused on improving delivery velocity, reducing cycle time, and strengthening quality governance through DevOps automation and continuous improvement. My responsibilities include tracking program KPIs, managing risks and dependencies, facilitating executive reviews, and ensuring alignment between engineering outcomes and business objectives.My background also includes leading enterprise application intelligence and code quality programs using CAST AIP, managing large application portfolios, and driving data-led modernization and technical debt reduction roadmaps. I have established Centers of Excellence, defined operating models, and supported cloud migration and transformation planning aligned with enterprise architecture and regulatory standards.Known for strong stakeholder and CXO engagement, I consistently translate complex delivery metrics into clear program insights, actionable dashboards, and decision-ready updates.Core Focus Areas:Program & Project Management | Engineering Transformation | Delivery Governance | Risk & Dependency Management | Agile & SAFe Execution | DevOps Enablement | Stakeholder Management | Portfolio & Change Management

Experience

1. Project Manager Engineering Transformation Devops & Ai Productivity

   Infosys

   Mar 2021 — Present · Bengaluru, IN

   Led large-scale engineering transformation programmes for Fortune 500 clients, driving enterprise modernization, delivery governance, and execution excellence across globally distributed delivery environments• Directed multi-track transformation initiatives by embedding Live Engineering practices to enable real-time delivery visibility, predictive insights, and proactive risk management• Orchestrated GitHub Copilot Enterprise rollout for 1,500+ engineers, establishing governance frameworks, adoption models, enablement plans, and performance tracking across delivery centers• Drove measurable improvements in delivery velocity, cycle time, deployment frequency, and code quality through structured DevOps automation and continuous improvement initiatives• Partnered with senior stakeholders and CXO leadership to define transformation roadmaps, execution plans, milestones, and risk mitigation strategies• Managed end-to-end programme delivery including planning, execution, dependency tracking, risk and issue management, and benefits realization• Directed concurrent enterprise initiatives with cross-functional teams including architects, DevOps engineers, business analysts, and delivery leads across multiple geographies• Established programme governance models, operating cadence, milestone tracking, and executive reporting to ensure predictable, on-time, and on-budget delivery• Embedded Agile and SAFe-aligned delivery practices to improve execution discipline, transparency, and cross-team coordination• Designed AI-powered engineering productivity dashboards using DORA metrics such as velocity, cycle time, deployment frequency, and first-time-right• Implemented predictive analytics for sprint planning and capacity forecasting to improve estimation accuracy and delivery predictability• Enabled data-driven legacy modernization and technical debt reduction using CAST AIP analytics

Education

• AMITY UNIVERSITY

  Bachelor’s Degree, electronics & communication

  2008 — 2012

• St judes School

  10th & 12th, Science & Computer

  2004 — 2007