**About the Role** The mission of the Global Scaled Solutions (GSS) team is to transform Uber's best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are: 1. Automated & Innovative 2. Industry Leading 3. Cross-organizational & Integrated At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together. As a Program Manager with the AI and Data Solutions team, you will be responsible for running human in the loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes. **\-\-\-\- What the Candidate Will Do ----** Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: 01. Operational Efficiency 02. Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process 03. Execution 04. Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress 05. Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements 06. Financial and Headcount Management 07. Ensure organizational spending aligns with budget and priorities 08. Communication 09. Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams 10. Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews 11. Insights 12. Identify data based opportunities to improve process and customer experience **\-\-\-\- Basic Qualifications ----** 01. Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation 02. Ideate and drive programs aimed at driving efficiencies for GSS 03. Facilitate and drive high-impact initiatives to improve process quality and the customer experience 04. Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs 05. Turn analyzed data into actionable deliverables for the product, support, and operational improvements 06. Work with vendor teams to execute ideas and deliver continuous improvement of programs 07. Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders 08. Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency 09. Communicate plans, insights, data, and results to project stakeholders 10. Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization 11. Design experiments and interpret the results to draw detailed and actionable conclusions 12. Present findings to senior management to guide business decisions 13. Track, analyze, and report data patterns and trends associated with the programs you own \-\-\-\- Preferred Qualifications ---- 1. Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background 2. Analytics background. You have collected, structured and analyzed data to drive key insights We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world 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](mailto:accommodations@uber.com).