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Principal - Architecture

Job in Boston, Suffolk County, Massachusetts, 02297, USA
Listing for: LTM
Full Time position
Listed on 2026-10-09
Job specializations:
  • Business
    Product Manager, AI Business & Operations
Job Description & How to Apply Below
Data Product Manager Membership Technology Product Experience Product Management Position information

Career alignment

Job title

Data Product Manager Membership Job code

To be assigned

Grade management levelHO
03 Individual Contributor ProfessionalFLSA status

Exempt

Job family group familyIT Tech Product Management Direct reports team size0

Reports to position

To be determined

Last reviewed date September 2026

Career domain

Product Experience Career family

Product Management Career role Product Manager Business title

Data Product Manager Membership Current BJs title

To be determined

Croner match
25025 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 lifetime value 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 responsible use 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 cross channel 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 change management 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 qualifications5 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…
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