Principal - Architecture

Data Product Manager MembershipTechnology Product Experience Product ManagementPosition informationCareer alignmentJob titleData Product Manager MembershipJob codeTo be assignedGrade management levelHO03 Individual Contributor ProfessionalFLSA statusExemptJob family group familyIT Tech Product ManagementDirect reports team size0Reports to positionTo be determinedLast reviewed dateSeptember 2026Career domainProduct ExperienceCareer familyProduct ManagementCareer roleProduct ManagerBusiness titleData Product Manager MembershipCurrent BJs titleTo be determinedCroner match25025 Product ManagerJob purposeData 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 lifecycleKey accountabilities essential functionsDefines and maintains the roadmap for membership data products and connects product investments to stated growth engagement renewal retention and membervalue objectivesRuns discovery with Membership Marketing CRM Personalization Digital Product Member Care and Finance users to understand decisions journeys and operational needsOwns prioritization across member identity and profile Member 360 acquisition onboarding engagement lifecycle renewal retention offer audience attribution and lifetimevalue capabilitiesDefines member and household concepts lifecycle states business rules KPIs identity requirements quality thresholds and acceptance criteria in partnership with data governance and domain ownersPartners with data engineering and analytics teams to deliver secure reusable Databricks data products that can support reporting activation experimentation personalization and AI use casesEnsures privacy consent security and responsibleuse requirements are designed into member data products from discovery through operationEvaluates opportunities for propensity churn nextbestaction segmentation and recommendation capabilities applying evidence and measurable outcomes before scalingPlans launch activation stakeholder readiness communications training and adoption measurement across the teams and channels that consume membership dataMeasures product performance through adoption trust time to activation and movement in the membership outcome each product is intended to supportScope impact and decision makingOwns 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 outcomesProblem solving and complexityMembership 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 requestsLeadership and influenceLeads 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 adoptionKey relationships and communicationMembership leadership and operations strategy lifecycle requirements KPI definition and prioritizationMarketing CRM and personalization teams audience activation measurement experimentation and governed useDigital Product Member Care and Club Operations member journeys friction points service workflows and adoptionData engineering analytics data science architecture security privacy and governance identity data models controls quality and responsible useKnowledge skills and experienceRequired qualifications5 years of relevant product management data product analytics product or comparable experienceBachelors degree in a related field or equivalent practical experienceExperience owning product vision discovery roadmap prioritization requirements launch readiness adoption and outcome measurementHandson working knowledge of Databricks and modern lakehouse concepts including governed data products pipelines semantic layers data quality lineage and selfservice consumptionAbility to partner effectively with da