Job Description: We are seeking a Data Quality and Tools Manager to lead our efforts in ensuring the integrity, accuracy, and usability of our ML data. This role involves developing and implementing data quality strategies, overseeing data governance initiatives, and managing the tools and technologies used for data quality management. The ideal candidate will have a deep understanding of machine learning, data analysis, quality assurance, and leadership skills to drive the team towards excellence.
*This role is fully onsite at our San Jose office.*
Responsibilities: Develop, implement, and monitor data quality standards, policies, and procedures to ensure high-quality data Evaluate, select, and manage data quality tools and technologies. Lead the integration of these tools into existing workflows Manage a team of data analysts and quality assurance professionals, providing guidance, training, and support to enhance their skills and performance. Conduct data quality assessments and analyses to identify trends, root causes of issues, and opportunities for improvement Work closely with cross-functional teams to understand data needs and promote data quality initiatives across the organization Develop and present regular reports on data quality metrics, project progress, and improvement plans to senior management Drive a culture of continuous improvement by identifying opportunities to enhance data quality processes and tools Qualifications: Bachelor's degree in computer science, information technology, Statistics or related field. Master's degree preferred 5+ years of experience in data management, data quality, or data governance roles. Deep hands-on / technical experience of LLM's, machine learning concepts, algorithms, and model evaluation techniques Strong communication and collaboration skills with the ability to work effectively in cross functional team environment Strong analytical and problem-solving skills, with the ability to analyze complex ML models and identify potential issues Proficient at balancing multiple efforts simultaneously and meeting strict deadlines Persistent and inquisitive problem solver, committed to driving quality forward Significant management experience as a Software Quality Assurance Manager in an ML-focused environment Established pattern of building strong teams – attracting, hiring, motivating, and retaining the best engineers Proven experience in designing and maintaining data collection tools and infrastructure. Proficiency in programming languages such as Python, Java or JavaScript Strong knowledge of database management systems and data modeling concept
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