Digital Product Manager - Personalization Intelligence

A World-Class Team

BJ’s Wholesale Club is powered by more than 30,000 team members who make a real impact every day. Whether you're stocking shelves, solving problems or shaping strategy, your work helps families save on what matters most.

We’re a team built on purpose and opportunity. Join us and be part of something meaningful.

At BJ’s Wholesale Club, our team members are at the heart of everything we do. That’s why we offer a comprehensive benefits package designed to support your health, well-being and future – both on and off the job. When you grow, we grow.

• Weekly Pay: Get paid every week so that you can manage your money on your terms.
• Free BJ’s Memberships: Enjoy a complimentary The Club Card Membership, plus a free Supplemental Membership for someone in your household.*
• Generous Paid Time Off: Take the time you need with vacation, personal, sick days, holidays, bereavement, and jury duty leave.*
• Flexible and Affordable
  
  Health Benefits:
  
  Choose from three medical plans, and access optional dental, vision, Health Savings Account (HSA), and flexible spending account options to fit your lifestyle.*
• 401(k) Retirement Savings Plan: Build your financial future with a company match (available to team members 18 and older).*
• Employee Stock Purchase Plan: Accumulate funds through after-tax payroll deductions that can be used to purchase shares of BJ’s common stock at a 15% discount.*

* Eligibility requirements vary by position.

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.

• 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.

• 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.

• 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.

• 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.

This is a hybrid role. Tuesday through Thursday are in-office days at BJ's Club Support Center in Marlborough, MA and Monday and Friday are remote days.

In accordance with the Pay Transparency requirements, the following represents a good faith estimate of the compensation range for this position. At BJ’s Wholesale Club, we carefully consider a wide range of non-discriminatory factors when determining salary. Actual salaries will vary depending on factors including but not limited to location, education, experience, and qualifications. The pay range for this position is $ - $