Digital Product Manager - Personalization Intelligence

Digital Product Manager

• Personalization Intelligence at BJ's Wholesale Club Digital Product Manager
• Personalization Intelligence at BJ's Wholesale Club in Northborough, Massachusetts Posted in 10 days ago.

Type:

full-time

Job Description:

Digital Product Manager

• Personalization Intelligence BJ's Wholesale Club is seeking a Product Manager
• Personalization Intelligence to lead the next evolution of our data-driven personalization strategy. This is a high-impact transformation role responsible for scaling intelligent, model-driven personalization across all member touchpoints
• including site, app, email, push, SMS, and emerging channels. You will define and drive the roadmap that powers how millions of members experience BJ's
• delivering measurable incremental revenue, stronger loyalty, and deeper engagement through advanced personalization capabilities. This role sits at the intersection of product, data science, engineering, marketing, and digital
• translating business strategy into scalable machine learning-powered solutions.

What You'll Own Personalization Strategy & Roadmap Define and execute the product roadmap for Personalization Intelligence across all customer touchpoints. Drive clarity in business goals, measurable outcomes, and prioritization tied to incremental revenue and engagement. Lead the transformation from campaign-based targeting to intelligent, model-driven personalization at scale. ML-Powered Personalization Capabilities Partner closely with Data Science to design, build, and scale: Recommendation systems, Propensity and propensity-to-buy models, Predictive engagement and churn models Own the end-to-end ML model lifecycle from ideation and business case through training, testing, deployment, and ongoing optimization Translate model outputs into actionable, testable personalization strategies. Experimentation & Measurement Define clear hypotheses and testing frameworks to measure incremental lift. Collaborate with analytics to establish robust tracking, experimentation design, and performance reporting. Monitor and interpret key ML performance metrics and business KPIs. Own and deliver the product roadmap for Personalization Intelligence, driving clarity in goal definition, accountability for business outcomes, and focused execution.

Qualifications:

4+ years of Product Management experience Demonstrated experience delivering personalization, recommendation systems, Propensity/propensity-to-buy models, and other predictive models Retail or e-commerce experience strongly preferred Strong communication skills and experience working with Stakeholders (data science, engineering, business) Strong product discovery, prioritization, and stakeholder management skills