Director Data Science

DIRECTOR, DATA SCIENCE

REPORTS TO: CHIEF DIGITAL OFFICER

STATUS: EXEMPT

Summary

Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.

At Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves "Partners." With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.

Our vision is to offer everyone a piece of the American spirit - one handshake at a time.

The Director of Data Science will be instrumental in defining and executing Boot Barn's Data Science strategy. This role will provide leadership and vision to build and scale advanced analytics, machine learning, and generative AI capabilities that drive measurable business impact across the organization.

This leader will establish the roadmap, operating model, and best practices for Data Science, partnering closely with Technology, Ecommerce, Marketing, Merchandising, Supply Chain, and Store Operations to unlock value through data-driven decision making and intelligent systems. The Director will lead a high-performing team and ensure the delivery of scalable, production-ready solutions that support Boot Barn's long-term growth strategy.

Essential Duties and Responsibilities

• Define and drive the vision, strategy, and operating plan for Data Science across the organization, aligning initiatives to business priorities and revenue objectives including partnering on AI intiatives.
• Build and lead a high-performing team of Data Scientists, fostering a culture of innovation, accountability, and continuous development
• Identify, prioritize, and execute high-impact use cases across personalization, forecasting, pricing, marketing optimization, and customer experience
• Establish and track KPIs to measure the impact of data science initiatives on revenue, margin, customer engagement, and operational efficiency
• Partner with executive leadership and cross-functional stakeholders to translate business needs into scalable data science & AI solutions
• Oversee the design, development, and deployment of predictive models, and intelligent systems at enterprise scale
• Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure
• Standardize data science best practices, including experimentation frameworks, model governance, documentation, and reproducibility
• Help evaluate and implement new tools, technologies, and vendor solutions to enhance AI/ML capabilities
• Communicate complex analytical insights and model outcomes to executive and non-technical audiences, enabling data-driven decision making
• Continuously assess and optimize data science operations to improve efficiency, scalability, and business impact
• Demonstrates high level of quality work, attendance and appearance.
• Demonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.
• Adhere to all local, federal and state laws in addition to Company policies, procedures, and practices.
• Performs any other duties that may be assigned by management.