Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
Required Skills
Customer relationship management
Technical consultation
Data annotation
ML workflows
Project coordination
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
Basic Qualifications
- 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
Preferred Qualifications
- Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- Experience in project or program management
- 4+ years of technical support experience, or experience in leadership or account management positions
- Expertise in JSON, Command Line, and Python
- Background in customer success or solution consulting
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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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
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Reviews
2.9
10 reviews
Work Life Balance
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Pros
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Strong benefits package
Flexible scheduling options
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Limited growth and promotion opportunities
High stress and demanding work environment
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Junior/L3
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L5
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Bonus
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$209,264
Interview Experience
10 interviews
Difficulty
3.7
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Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
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1
Application Review
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Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
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Team Matching
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