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About the Role
We are seeking a business-minded Director of Data & AI to own and scale data and AI capabilities across our Post-Purchase and Innovation ecosystem. This role operates at the intersection of strategy, technology, and customer experience, covering fulfillment, returns, call center operations, experimentation, and emerging channels. You will act as a General Manager for Data & AI in this domain, defining the vision, shaping the roadmap, and leveraging data to achieve measurable business impact. Collaboration with Product, Engineering, and business leaders will be key to prioritizing investments, fostering innovation, and integrating data and AI into our operational and growth strategies.
Responsibilities
- Define and lead the data and AI strategy for Post-Purchase and Innovation, aligning it 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 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 technology decision-making.
- 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 to improve efficiency, reduce cost, and enhance 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 clearly and confidently to non-technical partners.
- Present insights, progress, and recommendations to senior and executive leadership.
Requirements
- Proven experience leading data and/or data science teams, ideally in fulfillment, returns, or innovation-driven environments.
- Strong hands-on foundation in Python and SQL, with the ability to guide technical direction.
- Retail or marketplace experience strongly preferred.
- Exceptional leadership, communication, and influence skills.
- A track record of building teams, driving strategy, and delivering real business outcomes through data.
Skills
- Python
- SQL
- Data Strategy
- AI Strategy
- Data Science
- Analytics
- Experimentation
- Algorithm Development
- Model Deployment
- Leadership
- Communication
- Influence
Experience Level
- Director