- Own the end-to-end product vision, strategy, and roadmap for a portfolio of data products consumed across ecommerce, POS, B2B, and analytics.
- Partner closely with Data Engineering to evolve the underlying data platform—including matching, classification, canonical naming, and quality—to deliver measurable customer and business outcomes.
- Define and ship data-driven experiences for our customer bases: retailer-facing, business-facing, and internal.
- Develop next-generation AI and Machine Learning systems, such as next best action and recommendations engines, to drive significant product improvements.
- Own the architecture and governance models for critical data assets, resolving conflicts and balancing canonical authority with contributor flexibility.
- Translate data coverage, quality, and structure into measurable business outcomes, such as merchandising conversion, receiving efficiency, or analytic integrity.