Uber - Program Manager II

2 weeks ago

Bengaluru, India Uber Full time


About The Role :


The candidate will be leading Uber's Data Labeling Program at GSS, which includes working with teams within Uber for their data annotation needs to power AI/ML products.


As Program Manager in the GSS ML Ops team, the candidate will play a crucial role in driving the successful execution of complex projects and programs from inception to encompass a wide range of activities, both strategic and operational, and require a blend of technical knowledge, leadership skills, and business candidate is expected to lead complex, cross-functional tech programs with strong stakeholder partnerships and drive operations for successful delivery within budget and timelines.

What You Will Do :


- Program Leadership : Define program scope, OKRs, and KPIs.


- Ensure alignment with stakeholder objectives and product goals.


- Cross-functional Collaboration : Lead and coordinate cross-functional teams across ops, engineering, and product for data annotation needs within Uber.


- Execution and Delivery : Independently manage a team of data annotators to drive quality and efficiency.


- Deliver qualitative and quantitative insights to enhance model development, identify failure points of the model, and improve end-user experience.


- Financial : Own program budget for data annotation.


- Drive efficiency by running experiments to transition to low-cost operating models while maintaining a high standard of quality.


- Risk Management : Identify and mitigate program risks and issues, ensuring timely escalation and resolution.


- Continuous Improvement : Analyze program performance and implement optimizations to improve efficiency and outcomes.


- Communication : Provide regular program updates to stakeholders, including executive leadership.


- Conduct weekly, monthly, and quarterly business reviews.

What You Will Need :


- Minimum 5 years of experience in program management or product management.


- Experience in solving problems, both structured and ambiguous, at scale, with strong attention to detail in fast-changing business environments.


- Excellent written and verbal communication skills.


- Ability to influence and motivate people (both technical and non-technical audiences) across a broad variety of job functions through relationships.


- Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations, and drive customer and product-focused decisions.


- Self-motivated and curious, with a strong affinity for strategic problem solving, operations management, and driving action.

Preferred Qualifications :


- Understanding of the AI landscape and how high-quality data and continuous evaluation of models help improve performance.


- Experience working with engineering, science, and product teams.


- Willing to explore and learn new technologies, hybrid processes.


(ref:hirist.tech)

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