Data Solutions Lead • Senior

Who you are

You have a strong background in managing complex technical projects, ideally with a focus on machine learning and data solutions. Your experience includes providing consultation in ambiguous environments, where you've successfully built partnerships with customers to drive business value. You thrive in roles that require you to be a trusted advisor, guiding teams and customers through the intricacies of ML and data collection processes.

You possess a deep understanding of machine learning workflows and data collection requirements, enabling you to transform complex research objectives into actionable tasks. Your ability to monitor and optimize collection health metrics ensures that customer success is always at the forefront of your work. You are skilled in coordinating across teams to ensure seamless delivery and stakeholder alignment, making you an invaluable asset in any project.

What you'll do

As a Senior Data Solutions Lead, you will drive and document effective ML and GenAI solutions for customer requests, ensuring that their needs are met with precision. You will own global team improvement projects, coordinating efforts across various teams to deliver exceptional results. Building and maintaining relationships with customer scientists will be a key part of your role, as you become their go-to partner for ML data solutions.

You will provide expert consultation on ML workflow capabilities, helping customers maximize the value they derive from their data collections. Your responsibilities will also include driving customer adoption by delivering technical value and ensuring an exemplary customer experience. You will guide customers on workflow feasibility and data collection, ensuring that they achieve the best results possible.

What we offer

At Amazon, we offer a collaborative environment where your contributions will directly impact our customers and the success of our projects. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and efficiency. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.