Data Solutions Lead, Data Collection Excellence
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
As a Data Solutions Lead youll be the trusted advisor for our AGI-DS scientists providing expert consultation on ML/Gen AI data collections and managing customer relationships. Youll 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.
Key job 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.
Youll 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 technical documentation and guidelines
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- Associates degree or equivalent work experience
- 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
- Bachelors degree in Business Computer Science or related field
- Working knowledge of JSON Command Line and Python
- Project management expertise
- Technical account management experience
- Background in customer success or solution consulting
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job 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.
Youll 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 technical documentation and guidelines
- Demonstrated experience in effectively defining optimal data creation strategies and executing them
- Associates degree or equivalent work experience
- 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
- Bachelors degree in Business Computer Science or related field
- Working knowledge of JSON Command Line and Python
- Project management expertise
- Technical account management experience
- Background in customer success or solution consulting
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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