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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