Data Solutions Lead • Lead

Who you are

You have a Bachelor's degree in a relevant field or equivalent work experience, and you bring demonstrated experience in effectively defining optimal data creation strategies and executing them. With over 2 years of experience in ML data operations, you possess a strong understanding of data annotation and ML workflows, making you a trusted advisor for AGI-DS scientists.

Your ability to transform complex research objectives into clear, actionable data collection requirements sets you apart. You excel in coordinating across teams to ensure seamless delivery and stakeholder alignment, owning relationships with customer scientists and becoming their go-to partner for ML data solutions.

You are skilled in providing consultation on ML workflow capabilities, helping customers maximize value while monitoring and optimizing collection health metrics to ensure customer success. Your focus on driving customer adoption through providing technical value and an exemplary customer experience is evident in your work.

Desirable

Experience in guiding customers on workflow feasibility and data collection best practices is a plus. You have a knack for collaborating with implementation teams to define and validate technical requirements, and you can evaluate the scalability of annotation scenarios while providing strategic recommendations.

What you'll do

In your role as Data Solutions Lead, you will drive and document effective ML/GenAI solutions for customer requests, ensuring that you meet their needs with precision. You will coordinate across various teams to facilitate seamless delivery and maintain stakeholder alignment, which is crucial for the success of the projects you oversee.

You will own relationships with customer scientists, becoming their trusted partner for ML data solutions. Your expertise will guide customers on workflow feasibility and data collection best practices, ensuring they receive the highest value from your services. You will also collaborate with implementation teams to define and validate technical requirements, which is essential for the successful execution of projects.

Monitoring and optimizing collection health metrics will be a key responsibility, as you strive to ensure customer success and satisfaction. You will drive customer adoption by providing technical value and an exemplary customer experience, which will be pivotal in building long-lasting partnerships.

What we offer

At Amazon, we value innovation and collaboration, and we encourage you to apply even if your experience doesn't match every requirement. You will be part of a dynamic team that is dedicated to delivering meaningful change for our customers and the models that back them. Join us in shaping the future of data solutions in the AI landscape.