Principal - Architecture

Data Product Manager Membership

Technology Product Experience Product Management

Position informationCareer alignment

Job titleData Product Manager MembershipJob codeTo be assigned

Grade management levelHO03 Individual Contributor ProfessionalFLSA statusExempt

Job family group familyIT Tech Product ManagementDirect reports team size0

Reports to positionTo be determinedLast reviewed dateSeptember 2026

Career domainProduct ExperienceCareer familyProduct Management

Career roleProduct ManagerBusiness titleData Product Manager Membership

Current BJs titleTo be determinedCroner match25025 Product Manager

Job purpose

Data Product Managers decide what gets built and why for BJs membership data products This role owns the vision roadmap prioritization and requirements for trusted data capabilities supporting acquisition onboarding engagement personalization renewal retention and lifetime value It connects membership strategy to reusable products on the Databricks enterprise data platform and enables teams to act on a consistent governed understanding of the member and membership lifecycle

Key accountabilities essential functions

Defines and maintains the roadmap for membership data products and connects product investments to stated growth engagement renewal retention and membervalue objectives

Runs discovery with Membership Marketing CRM Personalization Digital Product Member Care and Finance users to understand decisions journeys and operational needs

Owns prioritization across member identity and profile Member 360 acquisition onboarding engagement lifecycle renewal retention offer audience attribution and lifetimevalue capabilities

Defines member and household concepts lifecycle states business rules KPIs identity requirements quality thresholds and acceptance criteria in partnership with data governance and domain owners

Partners with data engineering and analytics teams to deliver secure reusable Databricks data products that can support reporting activation experimentation personalization and AI use cases

Ensures privacy consent security and responsibleuse requirements are designed into member data products from discovery through operation

Evaluates opportunities for propensity churn nextbestaction segmentation and recommendation capabilities applying evidence and measurable outcomes before scaling

Plans launch activation stakeholder readiness communications training and adoption measurement across the teams and channels that consume membership data

Measures product performance through adoption trust time to activation and movement in the membership outcome each product is intended to support

Scope impact and decision making

Owns a portfolio of enterprise membership data products serving multiple business and technology functions Makes roadmap scope and sequencing decisions within the area and recommends tradeoffs involving shared identity platform activation and analytics capabilities Impact is measured through adoption quality compliant use time to value and relevant membership outcomes

Problem solving and complexity

Membership products require reconciling identity household transaction engagement channel and service signals while protecting member information The role must resolve inconsistent definitions manage crosschannel dependencies and distinguish durable lifecycle capabilities from campaignspecific requests

Leadership and influence

Leads through product vision evidence facilitation and influence rather than direct authority Creates clarity across business data engineering analytics architecture security and changemanagement partners makes tradeoffs visible and holds the product team accountable for outcomes and adoption

Key relationships and communication

Membership leadership and operations strategy lifecycle requirements KPI definition and prioritization

Marketing CRM and personalization teams audience activation measurement experimentation and governed use

Digital Product Member Care and Club Operations member journeys friction points service workflows and adoption

Data engineering analytics data science architecture security privacy and governance identity data models controls quality and responsible use

Knowledge skills and experience

Required qualifications

5 years of relevant product management data product analytics product or comparable experience

Bachelors degree in a related field or equivalent practical experience

Experience owning product vision discovery roadmap prioritization requirements launch readiness adoption and outcome measurement

Handson working knowledge of Databricks and modern lakehouse concepts including governed data products pipelines semantic layers data quality lineage and selfservice consumption

Ability to partner effectively with da