Rajendra Vemulapalli

About Rajendra Vemulapalli

I am a results-driven Engineering Leader with a passion for transforming HR technology through AI, data platforms, and intelligent automation. With deep hands-on expertise in cloud engineering, data architecture, and modern HR systems, I specialize in building scalable, secure, and AI-powered platforms that empower organizations to make smarter workforce decisions and enhance the employee experience.Over the years, I’ve led cross-functional teams through large-scale transformations—from migrating legacy HR systems to the Azure cloud, to architecting modern data warehouses and enabling self-serve analytics across the enterprise. My work is grounded in Responsible AI principles, ensuring fairness, transparency, and trust in every solution we deploy.Beyond the technical strategy, I take pride in being a visionary people leader—someone who builds, mentors, and inspires high-performing teams. I actively shape talent strategies, foster a culture of ownership and innovation, and align engineering excellence with business outcomes. Whether collaborating with HR COEs, leading data governance initiatives, or driving Gen AI test automation, I bring clarity, purpose, and energy to every challenge.I believe the future of HR is intelligent, data-driven, and people-first—and I’m here to help lead the way.Core Competencies: Technical Leadership: Lead cross-functional engineering teams in delivering secure, scalable solutions across cloud and on-prem environments, with deep expertise in Azure. HR Tech Innovation: Design and deploy HR solutions powered by generative and conversational AI to enhance productivity, engagement, and employee experience. Talent Strategy & Performance Management: Define team structure, close capability gaps, implement performance objectives, and drive career development and promotions. HR Business Partnership: Collaborate with HR Centers of Excellence (COEs) to globalize, standardize, and co-create technology solutions aligned with strategic HR goals. Data Architecture & Engineering: Deliver data lake, data mesh, and virtualization solutions; implement governance frameworks and lifecycle management for enterprise-scale data platforms. Portfolio & Strategic Planning: Oversee resource allocation, program delivery, and roadmap execution across a multi-initiative HR tech portfolio. Process Optimization: Identify and execute on opportunities to streamline operations, increase automation, and accelerate adoption of self-service capabilities.

Experience

1. Sr Manager, Enterprise Engineering

   Linkedin

   Oct 2018 — Present · Sunnyvale, US

   Own end-to-end delivery of data interfaces that enable seamless, secure data flow into and out of core HR systems.Architect and implement a secure, elastic, and highly scalable data warehouse to support enterprise-wide analytics, AI integration, and reporting needs.Design and deliver AI-powered data solutions that drive intelligent automation, workforce insights, and improved decision-making across HR functions.Champion the adoption of Responsible AI principles in the development and deployment of AI solutions, ensuring fairness, transparency, and compliance in HR technology.Lead the design and implementation of test automation solutions using Generative AI to accelerate release cycles, enhance quality, and reduce manual testing efforts across HR applications.Partner with senior leadership and business stakeholders to prioritize high-impact, data-driven initiatives and deliver actionable insights to support strategic HR processes.Lead the full migration of the HR technology stack from on-premise infrastructure to the Azure cloud environment.Drive the development and operationalization of data governance frameworks for the Talent Data Platform, ensuring data quality, compliance, and consistency.Oversee the transition from job-based to position-based management within Workday HCM.Spearhead the implementation of Microsoft Workplace Analytics to enable organizational productivity insights.Deliver dashboards, data products, and insight services to People Analytics, Talent Services, and HR Centers of Excellence.Ensure robust data governance, responsible AI use, and regulatory compliance across all HR applications.Lead, mentor, and empower a high-performing team of data and software engineers, fostering a culture of innovation, accountability, and technical excellence.

Education

• Sethu Institute Of Technology

  Bachelor of Engineering (B.E.), Computer Science

  1996 — 2000