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
