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Data Solutions Lead, Data Collection Excellence

Osaka, Japan💼 Full-time🗓 2026-01-23 → 2026-07-13

Core

Trusted advisor for AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships to drive business value.

Role type

Senior IC technical account manager / data solutions lead

Builds

ML/Gen AI data collection solutions and workflows for customer scientists

Domain

Artificial Intelligence / Machine Learning / Data Operations

Deliverable

production ML models

Required skills

defining optimal data creation strategies, executing data annotation workflows, managing customer relationships, translating complex technical concepts, monitoring collection health metrics, guiding workflow feasibility, evaluating scalability of annotation scenarios

Preferred skills

project management, technical account management, customer success, solution consulting

Technologies

JSON, Command Line, Python

Responsibilities

Drive and document effective ML/GenAI solutions for customer requests, coordinate across teams for seamless delivery, own relationships with customer scientists, provide consultation on ML workflow capabilities, monitor and optimize collection health metrics, guide customers on data collection best practices

Seniority

Senior, hands-on IC with strategic advisory

Rewrite
## 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 ## 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 Have - 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 ## Benefits Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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