Program Manager, Tech | AI and Data Solutions – GSS Full-time

What the Candidate Will Need / Bonus Points

\-\-\-\- 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).