Data Product Manager – Membership

We are seeking an experienced Data Product Manager Membership to own the vision, roadmap, prioritization, and requirements for enterprise membership data products.

The ideal candidate will connect membership strategy to trusted, reusable data products built on the Databricks enterprise data platform, supporting acquisition, onboarding, engagement, personalization, renewal, retention, and lifetime value.

Key Responsibilities

• Define and maintain the roadmap for membership data products and align product investments with growth, engagement, renewal, retention, and member-value objectives.
• Lead discovery with Membership, Marketing, CRM, Personalization, Digital Product, Member Care, and Finance teams.
• Own prioritization across Member 360, member identity/profile, acquisition, onboarding, engagement, lifecycle, renewal, retention, offers, audiences, attribution, and lifetime value capabilities.
• Define member/household concepts, lifecycle states, business rules, KPIs, identity requirements, data-quality thresholds, and acceptance criteria.
• Partner with Data Engineering, Analytics, Data Science, Architecture, Security, Privacy, and Governance teams.
• Drive delivery of secure, reusable Databricks data products supporting reporting, activation, experimentation, personalization, and AI use cases.
• Ensure privacy, consent, security, responsible-use, quality, and governance requirements are incorporated throughout the product lifecycle.
• Evaluate opportunities involving propensity, churn, next-best-action, segmentation, and recommendations.
• Plan product launches, stakeholder readiness, communications, training, activation, and adoption measurement.
• Measure product performance through adoption, data trust, time-to-activation, and membership outcomes.
• Make roadmap, scope, sequencing, and prioritization decisions across a portfolio of enterprise membership data products.

Required Qualifications

• 5+ years of relevant Product Management, Data Product, Analytics Product Management, or comparable experience.
• Bachelor's degree in a related field or equivalent practical experience.
• Demonstrated ownership of product vision, discovery, roadmap, prioritization, requirements, launch readiness, adoption, and outcome measurement.
• Hands-on working knowledge of Databricks and modern lakehouse concepts.
• Experience with:
  • Governed data products
  • Data pipelines
  • Semantic layers
  • Data quality
  • Data lineage
  • Self-service data consumption
• Strong ability to work with data engineering, analytics, data science, architecture, security/privacy, governance, and business teams.
• Strong understanding of product KPIs and evidence-based prioritization.
• Experience with Agile product delivery, backlog management, dependency planning, and change adoption.
• Working knowledge of membership/loyalty business concepts, including acquisition, onboarding, engagement, tiers, renewal, retention, churn, offers, householding, and lifetime value.

Preferred Qualifications

• Experience in retail, wholesale club, subscription, loyalty, financial services, or digital commerce.
• Experience with customer/member data platforms, identity resolution, CRM activation, personalization, or marketing measurement.
• Experience developing governed predictive analytics or AI capabilities for customer/member lifecycle decisions.