Manage end-to-end data operations to ensure efficient, accurate data.
Collaborate with product/engineering to refine data pipelines and flow.
Establish and monitor data quality metrics for AI training data.
Identify operational inefficiencies in data workflows and implement improvements.
Provide actionable insights from data to support decisions and product development.

🎯 Requirements

Strong technical skills; experience managing data pipelines and data quality (SQL, Python preferred).
Excellent problem-solving and a data-driven approach to improving processes.
Strong collaboration skills; able to communicate data issues to non-technical stakeholders.
Interest in AI/ML systems is a plus, but not required.

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