Senior Product Lead - Retail Data & Analytics

Hands\u2011On Technical Product Ownership

Work directly in Databricks to explore datasets,\u00A0

\u00A0outputs, and support backlog refinement and acceptance.

SQL, data transformations, and data models to ensure they meet business intent and quality expectations.

Use Python (e.g., notebooks, lightweight analysis scripts) to explore datasets,

\u00A0business logic, assess edge cases, and support acceptance criteria and decision-making.

A place where you can take your career in the direction you want to grow and go

The Senior Product Lead, Retail Data & Analytics is accountable for the end\u2011to\u2011end ownership of data products that enable retail performance, customer growth, and loyalty outcomes.

This role partners closely with North American and International Retail, Marketing, Loyalty, and Digital stakeholders to translate business strategy into a prioritized, value\u2011driven data product roadmap.\u00A0

As a senior individual contributor, this role owns product vision, backlog prioritization, and delivery outcomes across a complex portfolio spanning retail operations, pricing and promotions, marketing analytics, loyalty programs, customer engagement, and customer data platforms (CDP).

The Product Lead works closely with Data Engineering, Analytics, and Platform teams to ensure solutions are trusted, scalable, and aligned to enterprise data standards.\u00A0

This role is hands\u2011on and requires the ability to work directly with data in Databricks, review SQL\u2011based transformations and data models, and partner closely with Data Engineers and Technical Data Analysts on solution design and delivery.

The Senior Product Lead is expected to engage directly with data, understand technical implementation details, and actively shape solutions alongside engineering and analytics partners.\u00A0