Rupesh Ranjan
Data & Analytics Program Lead at Thoughtworks
Based in Chicago, United States
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Seniority
Manager
Department
Information Technology
Location
Chicago
Industry
Information Technology and Services
Company size
12K
Contact information
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r•••••••@thoughtworks.com
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Background
About Rupesh Ranjan
Data & Analytics Program Lead with 19+ years of experience defining the vision, roadmap, and execution strategy for enterprise-scale 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.
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