Personalization Product Senior Data Associate

What you'll do

• Lead the strategy and execution of machine learning-powered personalization and next-best-action capabilities across multiple channels.
• Translate user research and analytics into clear product roadmaps, epics, user stories, and acceptance criteria.
• Manage day-to-day backlog grooming and sprint execution from the discovery phase through product launch.
• Coordinate with data science and engineering teams to design, train, evaluate, deploy, and monitor machine learning models.
• Design and iterate on recommendation, next-best-action, and agentic solutions while upholding privacy and fairness standards.
• Analyze and track product metrics including engagement, quality, cost, and time to evaluate performance against targets.
• Capture requirements for context signals and event-driven cloud architectures to support assistant memory and context.
• Run experiments to validate the impact of new features and operationalize scalable model lifecycle infrastructure.

What we're looking for

• 3+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle, including discovery and requirements definition.
• Experience delivering customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.
• Experience building data products for agentic assistants and delivering personalization or next-best-action solutions.
• Working knowledge of data analytics, data literacy, and the ability to query data sets using SQL or Python.
• Experience executing core product practices including requirements, backlog management in Jira, and roadmap development.
• Familiarity with AWS data lakes, Snowflake, and modern data platforms.
• Experience with tools such as Tableau, Grafana, or similar for documentation and data visualization (preferred).