Program Manager II - Analytics & ML

Program Manager II - Analytics & ML Department: Product Team: Program Management Location: Bangalore, India Type: Full-Time **About the Role** As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various Product and Ops related decisions at Uber. You will perform a range of activities demonstrating your & analytical thought leadership and automation mindset, and will be involved in leading multiple data-driven projects including , but not limited to : 1. Doing strategic & technical program management across different pillars of Uber’s lines of businesses 2. Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally 3. Performing analytical deep dives to drive product/strategy road-map 4. Engineer scalable data ingestion frameworks and optimized analytical layers that mirror real-time product lifecycles, ensuring data integrity across high-volume environments. 5. Development of Machine Learning based solutions 6. Building scalable automation tools using python & AI \-\-\-\- What You Will Do ---- You will work on a range of analytics projects to help partner teams in boosting efficiency and fostering growth throughout the business. Your role will entail delivering valuable qualitative insights and collaborating with engineering, data science, and product teams to develop analytics solutions. The ideal candidate is experienced working with large data sets, automations and data visualization, as well as being passionate about data analytics and automations. Following would be what you will do day-to-day: 01. Utilize expertise in data analysis and visualization to develop end-to-end analytical solutions. 02. Translate analytical solution into actionable insights and recommendations for technical and non-technical audience in a clear, concise and persuasive way 03. Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery 04. Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement o