Sr. Director, Data Science & AI
Core
Strategic architect and operational leader for enterprise AI and data science solutions, shaping how AI transforms consumer understanding, operations, and decision-making across merchandising, supply chain, and marketing.
Role type
Senior Director, Data Science & AI
Builds
Enterprise AI strategy, production-grade ML systems for personalization and demand intelligence, scalable MLOps practices, and a high-performing team of data scientists and ML engineers.
Domain
Retail / DTC / Consumer Goods
Deliverable
production ML models
Required skills
Enterprise AI strategy, team building and scaling, production-grade ML system delivery, consumer intelligence and personalization, MLOps and governance, executive communication, Python, SQL, modern ML frameworks (scikit-learn, PyTorch/TensorFlow, Spark), cloud-native ML infrastructure (Snowflake, Databricks, AWS SageMaker)
Preferred skills
Retail apparel/athleisure brand experience, MarTech and CDP ecosystems (Hightouch, Braze, Salesforce), generative AI applications (LLMs, RAG), real-time ML serving
Technologies
Python, SQL, scikit-learn, PyTorch, TensorFlow, Spark, Snowflake, Databricks, AWS SageMaker
Responsibilities
Define multi-year AI strategy aligned to enterprise growth; establish AI vision and evaluate emerging capabilities; translate strategy into actionable initiatives with clear KPIs; own end-to-end lifecycle of AI/ML solutions; build and mentor a high-performing team; architect consumer intelligence strategy for personalization; drive production-grade AI solutions for segmentation, CTV, and churn prediction; partner with business leaders to identify AI opportunities in demand forecasting and pricing; implement robust A/B testing and responsible AI governance.
Seniority
Senior, hands-on IC with strategic leadership