Program Manager II, Analytics & AI

As a Program Manager II in the GSS Data Analytics team at Uber, you will lead high-impact initiatives by partnering with Product, Operations, Engineering, and Data Science teams. Your role will involve leading end-to-end analytics, automation, and AI initiatives to improve operational efficiency, decision-making, and business outcomes across Uber's global lines of business. - Lead end-to-end analytics, automation, and AI initiatives by defining business problems, establishing success metrics, and driving execution from ideation through implementation. - Utilize advanced analytical and visualization techniques to develop scalable solutions, uncover actionable insights, and influence strategic decisions across Uber. - Translate complex analytical findings and technical solutions into clear recommendations for both technical and non-technical stakeholders. - Drive multiple concurrent analytics, data engineering, and AI projects while maintaining high quality and operational excellence. - Design KPI frameworks, measurement strategies, and performance tracking systems to monitor business health and identify growth opportunities. - Identify opportunities to leverage Machine Learning and Generative AI technologies to deliver impactful AI-powered solutions. - Build intelligent data products and automation solutions by leveraging Python, LLM APIs, and modern AI technologies. - Lead vendor data analysts and project contributors, establish best practices, and continuously improve team deliverables. - Demonstrate strong attention to detail and a hands-on approach to problem-solving. Qualifications Required: - 6+ years of experience in Program Management, Analytics, Business Intelligence, Data Science, Data Engineering, or related fields. - Advanced SQL and Python proficiency with experience developing analytical, automation, or AI-driven solutions. - Experience leading teams, communicating insights to technical and non-technical audiences, and influencing decisions through data-driven storytelling. Preferred Qualifications: - Experience applying Machine Learning, Generative AI, or advanced analytics techniques. - Hands-on experience integrating LLMs and AI services through APIs to build intelligent applications. - Experience building AI-powered products such as recommendation systems or decision-support systems. - Strong understanding of ML development lifecycles, experimentation frameworks, and deployment considerations. - Experience managing large-scale initiatives and driving alignment across multiple teams. - Bachelor's or Master's degree in Statistics, Computer Science, Engineering, Economics, Mathematics, or related fields. As a Program Manager II in the GSS Data Analytics team at Uber, you will lead high-impact initiatives by partnering with Product, Operations, Engineering, and Data Science teams. Your role will involve leading end-to-end analytics, automation, and AI initiatives to improve operational efficiency, decision-making, and business outcomes across Uber's global lines of business. - Lead end-to-end analytics, automation, and AI initiatives by defining business problems, establishing success metrics, and driving execution from ideation through implementation. - Utilize advanced analytical and visualization techniques to develop scalable solutions, uncover actionable insights, and influence strategic decisions across Uber. - Translate complex analytical findings and technical solutions into clear recommendations for both technical and non-technical stakeholders. - Drive multiple concurrent analytics, data engineering, and AI projects while maintaining high quality and operational excellence. - Design KPI frameworks, measurement strategies, and performance tracking systems to monitor business health and identify growth opportunities. - Identify opportunities to leverage Machine Learning and Generative AI technologies to deliver impactful AI-powered solutions. - Build intelligent data products and automation solutions by leveraging Python, LLM APIs, and modern AI technologies. - Lead vendor data analysts and project contributors, establish best practices, and continuously improve team deliverables. - Demonstrate strong attention to detail and a hands-on approach to problem-solving. Qualifications Required: - 6+ years of experience in Program Management, Analytics, Business Intelligence, Data Science, Data Engineering, or related fields. - Advanced SQL and Python proficiency with experience developing analytical, automation, or AI-driven solutions. - Experience leading teams, communicating insights to technical and non-technical audiences, and influencing decisions through data-driven storytelling. Preferred Qualifications: - Experience applying Machine Learning, Generative AI, or advanced analytics techniques. - Hands-on experience integrating LLMs and AI services through APIs to build intelligent applications. - Experience building AI-powered products such as recommendation systems or decision-sup