Job purpose Data Product Managers decide what gets built and why for 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 relationships and communicationMembership 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 experienceRequired qualifications8+ years of relevant product management, data product, analytics product, or comparable experience.Bachelor's degree in a related field, or equivalent practical experience.Experience owning product vision, discovery, roadmap, prioritization, requirements, launch readiness, adoption, and outcome measurement.Hands-on working knowledge of Databricks and modern Lakehouse concepts, including governed data products, pipelines, semantic layers, data quality, lineage and self-service consumption.Ability to partner effectively with data engineering, analytics, data science, architecture, security, privacy, and business teams.Ability to define product outcomes and KPIs, use evidence to make prioritization decisions and communicate complex data topics in business language.Preferred qualificationsRetail, wholesale club, subscription, loyalty, financial services, or digital commerce experience.Experience with customer or member data platforms, identity resolution, CRM activation, personalization, or marketing measurement.Experience developing governed predictive or AI capabilities for member lifecycle decisions.Position: Data Product Manager - MembershipLocation: ( Remote )Role Type : C2C RoleNote- Must have a LinkedIn.Exp- 12+ yrs
4 days ago