Rupesh Ranjan

About Rupesh Ranjan

Data & Analytics Program Lead with 19+ years of experience defining the vision, roadmap, and execution strategy for enterprise-scale digital transformation, data, analytics, business intelligence and AI/ML initiatives. Drives faster outcomes by integrating business, technology, and delivery through cross-functional collaboration and system-wide clarity.Transforms enterprise data into strategic insights using Data Science, BI and AI/ML—driving business value by focusing on outcomes, not just outputs.Applies systems thinking to understand and connect product, domain, technology, data, enterprise processes, project management, people dynamics, customer journeys, and the broader digital ecosystem to solve complex problems.Possesses strong technical knowledge of BI/ML/AI concepts, cloud-based ML platforms, and MLOps frameworks- enabling strategic planning, delivery, and governance of Data programs.Fosters a culture of data literacy and continuous improvement, driving measurable value and earning recognition from CXOs and senior leadership.Driven by a passion for delivering value - has successfully served in diverse roles including Data Strategist, Delivery Head, Data Practice Lead, Data Product Manager, Senior Agile Program Manager, Technical Project Manager, Database Programmer, and Software Engineer.Successfully executed and delivered programs for key clients across geographies including John Deere, Standard Industries, Ann Taylor, ADT Health, H&M, Bunnings, TetraPak, Loblaws, Baxter Health, GE Corporate.Let’s Connect:If you’re looking for a data leader who can bridge the gap between data, technology, and business to create meaningful impacts, let’s collaborate. Together, we can explore opportunities to shape a smarter, data-driven future with the help of Data Science, BI/AI/ML.

Experience

1. Data Science & Ai Leader

   Thoughtworks

   Nov 2021 — Present · Gurugram, IN

   Spearheaded the creation of a multi-year Data Analytics, and Science roadmap aligned with a multi-million-dollar e-Commerce transformation, laying the foundation for data-first feature prioritization across business units for a fortune 500 company.Managed a global e-Commerce data and analytics team comprising data engineering managers, data scientists, analysts, engineers and technical product managers across the US, India and South America.Led cross-functional teams in implementing and managing end-to-end data management functions, including governance, architecture, modeling, integration, security, MDM, metadata, quality, storage, content, and Bl/Analytics.Orchestrated the integration of Adobe Clickstream, Enterprise Data Lake (EDL), Power BI, Tableau to deliver unified analytics and insights. Defined e-commerce metrics aligned with business OKRs, reducing time-to-insight by X%* and increasing stakeholder engagement to Y%*.Provided vision for recommendation engine with advanced machine learning models for customer behavior based product recommendations, resulting in a X% YoY revenue uplift.Led multiple optimization initiatives as part of the e-commerce strategy, delivering X%* revenue growth over two years, a X%* increase in conversion rates, and a X%* rise in Add-to-Cart rate through website features improvements.Led the implementation of AI-First Software Delivery (AIFSD) at Client site using an in-house tool, ‘Haiven’, covering the full Software Development Lifecycle (SDLC) with integrated AI capabilities.*Data not Sharable

Education

• Accredian

  Post Graduate Program in Data Science and AI, Data Science and AI

• Indira Gandhi National Open University (IGNOU), Delhi

  Master of Computer Applications - MCA, Computer Applications

• XLRI Delhi-NCR

  Executive Program in Product Management, Product Management