Senior Data Solutions Lead, Data Collection Excellence
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About the Role:
As a Data Solutions Lead youll 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. 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 while simultaneously making global process more efficient.
Key job responsibilities
What Youll 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.
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 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.
- Associates 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
- Masters 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
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at MA Boston - 64800.00 - 113300.00 USD annually
USA NY New York - 71200.00 - 124700.00 USD annually
Required Experience:
Senior IC
Key Skills
About Company
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