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Uber - Program Manager - AI / ML Domain

Uber - Program Manager - AI / ML Domain

UberHyderabad
27 days ago
Job description

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 :

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 You Will Do :

  • Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following :

Operational Efficiency :

  • 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.
  • Execution :

  • Drive the execution of operational programs, projects, and initiatives.
  • Handle issue escalations and proactively remove obstacles to drive momentum and progress.
  • Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements.
  • Financial and Headcount Management :

  • Ensure organizational spending aligns with budget and priorities.
  • Communication :

  • Lead the communications strategy for your programs.
  • Ensure information flows clearly and efficiently to enable teams.
  • Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings / reviews.
  • Insights :

  • Identify data based opportunities to improve process and customer to have :
  • Ideate and drive programs aimed at driving efficiencies for GSS.
  • Facilitate and drive high-impact initiatives to improve process quality and the customer experience.
  • Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs.
  • Turn analyzed data into actionable deliverables for the product, support, and operational improvements.
  • Work with vendor teams to execute ideas and deliver continuous improvement of programs.
  • Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders.
  • Ability to work with engineer / product / internal teams to deliver tool / tech solutions that will drive long term improvements in operational efficiency.
  • Communicate plans, insights, data, and results to project stakeholders.
  • Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization.
  • Design experiments and interpret the results to draw detailed and actionable conclusions.
  • Present findings to senior management to guide business decisions.
  • Track, analyze, and report data patterns and trends associated with the programs you Qualifications :
  • Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background.
  • Analytics background.
  • You have collected, structured and analyzed data to drive key insights.
  • Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation.
  • (ref : hirist.tech)

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