Photon

Data Product Manager - Membership | Onsite

  • Hybrid
  • full time
  • $60k–$210k/year
  • Posted today

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About the role

Key accountabilities / essential functions · Defines and maintains the roadmap for membership data products and connects product investments to stated growth, engagement, renewal, retention and member-value 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, next-best-action, 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 trade-offs 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 campaign-specific 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 trade-offs 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 qualifications · 5+ 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. · Working knowledge of agile product delivery, backlog management, dependency planning and change adoption. · Working knowledge of membership and loyalty business language and strategy, including acquisition, onboarding, engagement, tiers, renewal, retention, churn, offers, householding and lifetime value. Ways of working · Keeping member and business value the deciding factor when scope pressure would cut it first. · Building consensus across functions that have no reporting line to each other. · Changing direction when evidence shows an approach is not working rather than continuing because of sunk cost. · Holding commitments across concurrent workstreams and communicating early when constraints require a trade-off. · Holding data products to ethical, privacy, security, quality and governance standards under pressure to ship. Preferred qualifications · Retail, 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. Location type ☒ CSC/Remote ☐ Club ☐ Distribution Center ☐ Perishable DC ☐ Perishable HO ☐ Transportation ☐ Contractor Off Site Working conditions and physical requirements Work is primarily performed in a standard office or remote environment using computers and collaboration tools. The role may require periodic time in clubs, distribution centers or other BJ’s facilities to conduct discovery and understand operational workflows. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work travel requirements Occasional business travel may be required based on product discovery, planning, implementation and stakeholder needs.   Compensation, Benefits and Duration Minimum Compensation: USD 60,000 Maximum Compensation: USD 210,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post  

Skills

  • Product management
  • Data product management
  • Databricks
  • Data governance
  • Roadmap development
  • Stakeholder management
  • Agile methodology
  • Data modeling
  • Identity resolution
  • Customer lifecycle management
  • KPI definition
  • Data analytics
  • Business strategy
  • Cross-functional leadership
  • Privacy and security compliance

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