Rakesh Sridhar

About Rakesh Sridhar

True impact isn\'t measured by data alone—it’s revealed in the velocity at which insights become enterprise value.\"I am a global Data & AI leader with 18+ years of experience driving enterprise-scale transformations across Cloud, ERP, and Analytics ecosystems. My passion lies in turning AI innovation into measurable business value building scalable data foundations, embedding Generative AI into workflows, and aligning AI strategy directly with P&L outcomes.At Ness Digital Engineering and ITC Infotech, I have led high-impact Data & AI portfolios delivering significant business impact, consistently achieving 95%+ SLA success rates and accelerating analytics cycles by over 40%. My leadership spans building global AI engineering teams, modernizing cloud data platforms on Azure and SAP, and operationalizing Generative AI, RAG, and Agentic AI systems for enterprise adoption.Earlier at PwC, I delivered enterprise-scale SAP BI solutions for Fortune 500 clients, enabling real-time decision-making and driving significant efficiency gains through automation. I ensured business continuity during major divestitures while elevating reporting speed, accuracy, and cross-enterprise visibility across global operations.What energizes me is the challenge of transforming complex data ecosystems into intelligent, trusted platforms where AI systems not only predict outcomes but also explain them. Whether it’s architecting Agentic AI and RAG systems, defining ethical AI standards, or partnering with CXOs to align AI initiatives with business goals, I focus on making AI real, responsible, and results-driven.I am passionate about mentoring teams, building high-performing global delivery engines, and helping enterprises unlock the next wave of data-driven growth through Responsible AI and strong delivery governance.Recognized with PwC Excellence Awards, ITC’s TAP Award, and multiple delivery milestones, I continue to lead with a single purpose building high-performing teams that turn delivery into a true engine of transformation and growth.If you are exploring how AI, data, and cloud can transform your business or simply want to exchange ideas about building intelligent, scalable systems let’s connect.

Experience

1. Engineering Director

   Ness Digital Engineering

   Mar 2022 — Present · Bengaluru, IN

   Driving enterprise-wide BI modernization during a critical digital overhaul, reshaping SAP infrastructure, advancing AI adoption, and delivering measurable value across revenue, operations, and platform stability.Achievements:Revamped fragmented, high-latency systems into a unified, insight-ready architecture accelerating predictive analytics and ETL efficiency.Built a global 40+ member team, instilling Agile and CI/CD practices to boost SAP data delivery by 20% and support scalable growth.Documented 50+ reusable data assets within a governance framework, increasing insight delivery speed by 30% across key functions.Developed a resilient post-implementation model ensuring 95% SLA adherence, enhanced AI usage, and harmonized master data.Created an ROI-focused executive dashboard, aligning analytics with strategic goals and positioning data as a core growth driver.Improved Net Promoter Score (NPS) by 25 points and achieved a 95%+ CSAT rating by enhancing delivery reliability, transparency, and stakeholder engagement.

Education

• VIDYA VIKAS INSTITUTE OF ENGINEERING AND TECHNOLOGY

  Bachelor of Engineering - BE, Electrical and Electronics Engineering

• Indian Institute of Technology, Bombay

  Master of Business Administration - MBA, Strategy & Analytics

• Indian School of Business

  Leadership with AI, GenAI, AI/ML,LLMs/RAG

• Washington University in St. Louis - Olin Business School

  Master of Business Administration - MBA, Strategy & Analytics