Digital Product Manager - Personalization Intelligence

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