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Lead Data Specialist, ML Data Operations
2 weeks ago
At Amazon, we're on a mission to create business value by delivering high-quality data at scale. Our Human Labeled Data (HLD) organization plays a crucial role in enhancing customer search experiences through quality data annotation for AI/ML models.
">About the RoleWe're seeking an exceptional Lead Data Specialist, ML Data Ops, to oversee a team of 30-40 associates. As a subject matter expert in one or more processes/functions and proficient in English, you'll be responsible for driving initiatives across sites for process improvements, Standard Operating Procedure (SOP), and guidelines formulation.
Main Responsibilities:- Ensure operational and business goals are met by managing process and operational escalations.
- Drive data-oriented analysis, adoption of technology solutions, and process improvement projects to achieve operational and business goals.
- Manage stakeholder communication across multiple lines of business on operational milestones, process changes, and escalations.
- Identify gaps in process areas and work with stakeholders to resolve them.
- Be a Subject Matter Expert (SME) for the process and a referral point for peers and junior team members.
- Experience in managing process and operational escalations.
- Driving appropriate data-oriented analysis, adoption of technology solutions, and process improvement projects to achieve operational and business goals.
- Managing stakeholder communication across multiple lines of business on operational milestones, process changes, and escalations.
- Communicate and take the lead role in identifying Gaps in process areas and work with all stakeholders to resolve the gaps.
- Be a SME for the process and a referral point for peers and junior team members.
- A Bachelor's Degree and relevant experience of 2+ years as a subject matter expert or similar.
- Intermediate knowledge and hands-on experience with MS Excel.
- Excellent communication (written & oral) skills with the ability to curate responses for Language Model (LLM) development.
- Experience in analytical, problem-solving, and critical-thinking skills.
- Comfortable working in a fast-paced, highly collaborative, dynamic work environment.