Associate Director of Product Classification
New
Y
YipitDataMarket Research
US Remote, East Coast work hoursFull-TimeManager
SalaryUp to $210K ~ $220K + bonus element
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Job Details
- Experience
- 8+ years of experience in data analytics, data operations, category mapping, or consulting, with at least 4+ years leading teams of 10+, and at least 2 years of experience managing team leaders.
- Required Skills
- PythonSQLData analyticsDatabricksGitHubNLPLLMPySpark
Requirements
- 8+ years of experience in data analytics, data operations, category mapping, or consulting.
- 4+ years of experience leading teams of 10+ people.
- 2+ years of experience managing team leaders.
- 2+ years of experience working with SQL, Python, or PySpark.
- Familiarity with GitHub and Databricks.
- Demonstrated ability to build systems, metrics, and processes that scale.
- Proven track record of hiring, building training programs, and developing team leaders.
- Comfortable with ambiguity and building functions from scratch.
- Strong oral and written communication skills.
- Strong ownership mentality and enthusiasm for impact.
- Experience with product taxonomies, categorization systems, or e-commerce data (preferred).
Responsibilities
- Own operational leadership and accountability for the Product Classification organization.
- Build and own the metrics framework that holds every team member accountable for classification accuracy, throughput, and quality.
- Establish clear performance standards, SLAs, and escalation paths across the Data Classification and Data Quality teams.
- Run a rigorous operating cadence including standups, reviews, and retrospectives to drive continuous improvement.
- Recruit, hire, and develop high-performing Data Classification Analysts.
- Create onboarding programs and training curricula to accelerate team ramp time.
- Oversee the development of scalable analytic checks and refine LLM prompts based on error patterns.
- Partner with Engineering and Product Management to improve LLM-driven classification systems.
- Identify opportunities to leverage AI and automation to replace or augment manual classification workflows.
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