Responsibilities
- Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it tightly with company priorities and customer outcomes
- Partner with executive leadership to influence technology investment decisions, trade-offs, and long-term roadmap planning
- Drive smarter usage and optimization of existing platforms across Fulfillment, Returns, and Customer Support using data-driven insights
- Hire, lead, and inspire a cross-functional team of data scientists, analysts, and data product managers
- Create a culture of ownership, curiosity, and delivery—coaching the team on both technical excellence and business impact
- Deliver complex initiatives in collaboration with Engineering, Data Engineering, Product, and Business teams
- Champion a test-and-learn mindset, embedding experimentation into how technology decisions are made
- Lead experimentation design, measurement frameworks, and testing strategies across initiatives
- Apply advanced analytical techniques to evaluate outcomes, run “what-if” scenarios, and provide clear recommendations
- Oversee the design, development, and deployment of algorithms and models that improve efficiency, reduce cost, and elevate customer experience
- Ensure models are scalable, explainable, and aligned with real-world operational needs
- Translate business challenges into actionable data and AI initiatives
- Communicate complex technical concepts with clarity and confidence to non-technical partners
- Present insights, progress, and recommendations to senior and executive leadership
Requirements
- Proven experience leading data and/or data science teams
- Strong hands-on foundation in Python and SQL
- Exceptional leadership, communication, and influence skills
- A track record of building teams, driving strategy, and delivering real business outcomes through data
Nice to Have
- Retail or marketplace experience
