Sr. Director, Data Science - 11572

Lead the strategy, design, and delivery of AI/ML models (including Generative AI use cases) across multiple product domains.

Establish and scale MLOps practices to enable reliable, reproducible, and efficient model development and deployment.

Define and operationalize golden datasets, including data curation, labeling standards, and evaluation frameworks.

Own model performance: define KPIs, implement continuous evaluation, and drive ongoing improvements in accuracy, robustness, and latency.

Build and advance AI observability, monitoring, and feedback loops to ensure model transparency and trust.

Partner cross-functionally with Engineering, Product, Data, and Platform teams to integrate AI into production systems and user experiences.

Establish and enforce Responsible AI practices, including fairness, bias mitigation, explainability, and compliance.

Lead, mentor, and grow a high-performing global team of data scientists and ML engineers.

Influence executive stakeholders by translating complex AI concepts into clear business impact and strategy.