Amazon

Senior Data Solutions Lead, Data Collection Excellence

Job Description

Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you have experience managing complex technical projects from end to end? We're looking for a Senior Data Solutions Lead to join our growing team!

About the Role:
As a Data Solutions Lead, you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on high complexity ML/Gen AI data collections and manage emerging 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, while simultaneously making global process more efficient.

Key job responsibilities
What You'll Do:

Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Own global team improvement projects
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 expert 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.

You'll also:

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 and author technical documentation and guidelines
- Experience working with customers with a passion for delivering exceptional service, or experience in technical support and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in a similar role such as technical account manager, consultant, solutions architect, Language Engineer or service delivery manager
- Demonstrated experience in effectively defining optimal data creation strategies and executing them in complex global environments.
- Associate's degree or equivalent work experience
- 5+ years of experience in ML data operations, with a strong understanding of data annotation/ML workflows and concepts
- Ability to translate complex technical concepts into tactical applications


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