Job Description

Job Description

Job Title: Data Product manager

Location: Irving, TX

On-site job.

What You’ll Do

• Lead the development of personalization capabilities using AI/ML Models and intelligent customer segments to deliver context-aware, adaptive user experiences.
• Define and execute product strategies that connect enterprise data with AI to drive real-time decisioning, content generation, and customer engagement.
• Partner with ML teams to operationalize ML Models for use cases such as customer intent prediction, dynamic content delivery, and intelligent automation.
• Champion responsible AI practices, ensuring transparency, privacy, and trust are embedded in every personalization initiative.
• Use experimentation and analytics to evaluate product performance, identify opportunities, and continuously refine personalization strategies.
• Proactively understand the customer, translating business goals and end user needs into product strategy – communicating direction and priorities to data engineers and developers for implementation, and managing and grooming the product backlog to create new capabilities
• Drive initiatives to unlock comprehensive, user friendly, and actionable reporting for our suite of CRM and Retail Media Network products
• Oversee and facilitate the implementation of MarTech data needs across CRM, personalization and Retail Media
• Communicate personalization vision and roadmap to internal stakeholders, including adjacent product teams and executive sponsors

What You’ll Bring

• 4+ years of experience in product management, ideally with a focus on data platforms, personalization, or AI/ML.
• Proven ability to deliver data-driven products that balance innovation with operational excellence.
• Strong understanding of ML Models, and their application in real-world product experiences.
• Excellent communication and collaboration skills, with a track record of aligning cross-functional teams around a shared vision.
• A passion for solving end-user problems efficiently and effectively
• A Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Statistics, Information Systems), or a Master’s degree or MBA with a quantitative focus.

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