Digital Product Manager - Personalization Intelligence
Job in
Marlborough, Middlesex County, Massachusetts, 01752, USA
Listed on 2026-06-04
Listing for:
BJ's Wholesale Club, Inc.
Full Time
position Listed on 2026-06-04
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
** 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.
** Why You’ll Love Working at BJ’s
** 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.
** Here’s just some of what you can look forward to:**
* ** 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.
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
This is a hybrid role. Tuesday through Thursday are in-office days at…
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