Data Solutions Lead, Data Collection Excellence

Amazon•Boston, MA

About The Position

As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.

Requirements

Bachelor's degree in a relevant field or equivalent work experience
Demonstrated experience in effectively defining optimal data creation strategies and executing them
2+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
Outstanding customer communication and management skills, especially in technical consultation
Ability to translate complex technical concepts into tactical applications

Nice To Haves

Bachelor's degree in Computer Science, Business or a related field
Experience in project management
Working knowledge of JSON, Command Line, and Python
Technical account management experience
Background in customer success or solution consulting

Responsibilities

Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines