Shanmukh Rao Mandapati

• Led end-to-end delivery of AI-driven analytics and reporting platform — owned roadmap, sprint planning, and stakeholder alignment across engineering, design, and data science teams. • Owned end-to-end SaaS product delivery — coordinated DevOps, engineering, and QA teams to accelerate release timelines and reduce deployment errors by 40%. • Drove Agile transformation across cross-functional teams — reduced delivery cycle time by 25% while maintaining strong alignment with business and client goals. • Translated complex AI and NLP capabilities (text analytics, Journey Insights, sentiment analysis) into clear product narratives — enabling successful enterprise upsells and long-term account retention. • Built executive reporting frameworks providing real-time project health, risk visibility, and resource forecasting — improved leadership decision efficiency by 40%. • Achieved 98% stakeholder satisfaction rating managing distributed teams of 25+ across engineering, product, and QA functions. • Drove 20% increase in annual recurring revenue through strategic backlog prioritization and streamlined SaaS delivery.

• Led Scrum adoption across software development teams — reduced time-to-market by 30% and accelerated release cycles from 4 weeks to 2 weeks through CI/CD and automated testing. • Managed distributed team of 10 developers and QA specialists — facilitated sprint planning, retrospectives, and daily standups across time zones. • Partnered with product and business stakeholders to translate requirements into clear user stories, acceptance criteria, and delivery plans. • Trained 50+ personnel in Agile and Scrum methodologies — established internal knowledge base and improved organizational Agile maturity.

• Managed delivery of enterprise HCM implementations for Fortune 500 clients — led cross-functional teams, coordinated onshore/offshore resources, and ensured on-time delivery across 8+ years. • Built and executed end-to-end QA strategy across multiple product modules — reduced defect leakage and improved release quality for large-scale HR platforms. • Used SQL and data analysis to validate business requirements and drive informed delivery decisions across complex data environments.