Associate Program Manager, Tech

Uber
Bangalore, IndiaPosted 14 April 2026

Tech Stack

Job Description

Associate Program Manager, Tech Department: Engineering Team: Program Manager Location: Bangalore, India Type: Full-Time **About the Role** As a member of the GSS DAS PgM team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership, automation mindset and will be involved in Program Managing multiple data-driven projects. \-\-\-\- What the Candidate Will Do ---- 1. Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally 2. Using AI to Integrate LLMs (like GPT) into apps, using APIs to access AI models, creating intelligent features (e.g., chatbots, recommendation systems), automating workflows with AI, applying pre-trained models to business use cases 3. Performing analytical deep dives to drive product/strategy road-map 4. Apply expertise in statistical analysis, data mining and visualization to own and deliver end to end analytical solution development 5. Translate analytical solution into actionable insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way 6. Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery across the team 7. Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunities 8. Lead vendor data analysts in project execution 9. Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber \-\-\-\- Basic Qualifications ---- 1. BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or any other quantitative field 2. Has knowledge and experience of applying different techniques OF turning the potential of AI into tangible business value by Integrating LLMs (like GPT) into apps, using APIs to access AI models, creating intelligent features (e.g., chatbots, recommendation systems), automat
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