URBN Senior Data Science Manager

Urban Outfitters • Philadelphia, PA

1d

About The Position

URBN is seeking a Senior Manager of Data Science to serve as a strategic lead and operational force for a high-growth digital commerce initiative. You will guide a team of data scientists and analysts to empower intelligent decision-making across the product lifecycle, from fashion trend analysis and product concepts to marketing activation and forecasting. In this role, you act as a full-service solution provider, managing projects from initial ideation through the deployment and maintenance of production services. You will operate in a complementary partnership with a Senior Principal Data Scientist to form a unified front for the initiative. While you own delivery mechanics and talent growth, you are also responsible for long-term technical strategy and bringing unique AI innovations to fruition to power the next evolution of intelligent commerce at URBN. Who You Are Technical Mentor : You maintain a mastery of ML and GenAI architectures, allowing you to act as a credible sounding board for your team and technical lead counterpart on critical missions. Strategic Architect : You identify new development areas, shape multi-quarter technical roadmaps, and lead teams through complex problem solving to bring original ideas to life. People Leader : You excel at building teams and managing careers ranging from interns to Senior Data Scientists through the lens of technical excellence. Collaborative Partner : You translate complex AI concepts into clear business recommendations for diverse stakeholders and navigate a fast paced retail ecosystem with curiosity.

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.
• 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.

Nice To Haves

• Exposure to modern AI domains , such as Generative AI, Large Language Models (LLMs), Computer Vision, or multimodal embedding models is highly preferred.

Responsibilities

• Team Leadership & Talent Strategy 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.
• Roadmap, Planning & Execution 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.
• Technical Excellence & Guidance 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.

Benefits

• URBN offers comprehensive Perks & Benefits to employees.
• Availability and eligibility to specific benefits may be subject to your location and employment status.
• Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more!
• For additional information visit www.urbn.com/work-with-us/benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Intern