Associate Program Manager, Tech

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), automating workflows with AI, applying pre-trained models to business use cases
3. Proficient in writing and understanding complex SQL queries
4. Strong multi-tasking & project management skills, and a keen sense of prioritization
5. Ability to thrive and deliver in an ambiguous environment
6. Self-motivated and driven to deliver agreed results on-time
7. Good story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
8. Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders
9. A minimum 2+ years' experience in an analytics delivery role

---- Preferred Qualifications ----

1. Programming background and expertise in solving a business problem using at least one of the following languages: Python, R
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), automating workflows with AI, applying pre-trained models to business use cases
3. Experience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig)
4. Experience working with large data sets and Hive database
5. Experience of successfully managing small to medium-scale projects

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s): Bangalore, India, Hyderabad, India

Job ID: Uber-151181

Employment Type: FULL_TIME

Posted: 2026-01-29T19:55:32