Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
About the role
- Senior Manager of Data Science leading a team of data scientists for high-growth digital commerce initiatives at URBN. Guiding intelligent decision-making across the product lifecycle with a focus on AI innovations.
Responsibilities
- Lead a team of data scientists, identifying strengths and development areas to foster a collaborative and inclusive environment.
- Own talent strategy and career development, providing one on one coaching, facilitating access to training, and delivering advice to help team members advance from individual contributors to technical leaders.
- Drive the recruiting and retention of top data science talent, ensuring the team's growth aligns with the scaling needs of the initiative.
- Serve as the end to end owner of project delivery, managing resources, timelines, and the operational cadence from inception to completion.
- Act as a primary interface for stakeholders, prioritizing initiatives to protect the roadmap and ensuring the team hits high impact milestones on time.
- Collaborate with Product Management and peer partners to define and execute technical roadmaps, ensuring data science capabilities are integrated into the core platform strategy.
- Drive the end-to-end realization of unique AI initiatives, taking your own ideas and stakeholder needs from initial concept through to production-level GenAI, vision, and forecasting solutions.
- Serve as the final technical sign off for the team's output, reviewing and approving technical approaches to ensure they are sound, scalable, and align with project goals.
- Maintain a hands-on presence by contributing to code performance optimization, data engineering, and quality assurance to ensure production level reliability.
- Partner with the Senior Principal Data Scientist to bridge the gap between prototyping and production scale execution, translating high level technical vision into actionable software design.
- Collaborate with Engineering to ensure data sources and infrastructure are designed to support production level machine learning and custom reporting.
Requirements
- 5+ years of experience in data science or analytics roles with demonstrated progression in scope and responsibility.
- 2+ years of leadership experience, specifically in managing data science teams, recruiting talent, and retaining top performers.
- Strong proficiency in Python and SQL for data manipulation, analysis, and code review.
- Experience with managing complex, large-scale data science projects from inception to production.
- Familiarity with the AI/ML lifecycle, including understanding model experimentation, monitoring, and maintenance in a production setting.
- Exposure to modern AI domains, such as Generative AI, Large Language Models (LLMs), Computer Vision, or multimodal embedding models is highly preferred.
- Bachelor's degree or higher in a quantitative discipline (Statistics, Mathematics, Computer Science, or related field).
- Excellent communication skills, with the ability to distill complex ML concepts into practical industry applications for non-technical leadership.
Benefits
- medical
- dental
- vision
- PTO
- generous employee discounts
- retirement savings
- much more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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