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Translate business requirements and ML objectives into implementable requirements, schema, guidelines and quality metrics while defining success measures and key result for each labelling effort and actively manage scope, risks, dependencies, and stakeholder communications Own the annotation operating model, including workflow design, task routing, queue management, and deliv...
About the Role
Join us for an exciting opportunity to leverage your advanced data annotation skills in the financial industry and contribute to cutting-edge machine learning models.
As a Data Domain Architect Lead within the Consumer & Community Banking team, you will lead data labeling initiatives that produce reliable, controlled, and actionable datasets for model training and evaluation. You will set product direction, manage delivery, and partner with technology, operations, and data science teams to improve data quality, scalability, and stakeholder outcomes.
Job Responsibilities
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