Principal - Architecture

Role Description 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 Required Qualifications Knowledge skills and experience 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 Other Details Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.