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)