SAI PRASAD S N

Accomplishments

• Managed end-to-end Global Business relationship with 40+ PaaS/SaaS Technology Platform companies in Data management, Cloud, CMS, and Automation areas.
• Influenced $10M+ per year business to partners by licenses sale through Co-sell, Pass-through, Managed services, and Sell-to engagement models
• Contributed to $30M+ per year services revenue on partner technologies including large digital transformation projects with customers across industry verticals
• Generated incremental revenue of Avg 10-15% of partner licenses sales via rebates, referral fee and discounts
• Achieved elevation of Partnership levels with 10+ partners by contributing to their business in TCS
• Received multiple accolades and appreciations from Senior management and internal teams for bringing partnership leverage to deals
• Owned multiple executive communications within and between companies for strategy alignment and partnership development

Roles and Responsibilities

• Identifying, qualifying, and onboarding of technology partners based on Industry trends
• Engage with partner representatives in developing joint business plans, defining go-to-market strategies
• Opportunity mining by account mapping with partners for new sale, cross sell and up sell
• Orchestrating relationship between partners, technical (CoE), sales and marketing teams through the sales cycles
• Create and execute business growth initiatives to build opportunity pipeline for the partner technologies
• Evangelize partner product use cases, success stories & value propositions through marketing campaigns, webinars, and mailers
• Drive enablement activities to various internal teams for building delivery/sales capability on partner technologies

• Noida,, Identified top 5% (~250) retailers contributing to 40% of revenue to DS Group in Jaipur and Agra.
• The Project was approved to implement across 40 cities in India and accoladed by top management (owners) Built Forecasting and Regression models for 421950 record/3.9 MN kgs sales of “Catch Non-Veg Masala” Predicted sales and trends with ~90% accuracy using ARIMA and Holt-Winters forecasting methods.