Strategy-Driven Merchandising Data Product Manager

Photon; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

BJ's Wholesale Club is seeking a Data Product Manager for Merchandising to own the vision, roadmap, and requirements of our merchandising data products on the enterprise data platform.

You will run discovery with merchants and cross-functional teams, define KPIs, data quality and adoption, and partner with data engineering, analytics, architecture, security and governance to deliver scalable, trusted data capabilities.

Qualifications

• 5+ years in product/data/analytics role.
• Bachelor's degree or equivalent practical experience.
• Experience owning vision, discovery, roadmap, prioritization, requirements, launch readiness and adoption.
• Hands-on Databricks knowledge and lakehouse concepts.
• Strong cross-functional partnership with data and security teams.
• Define outcomes and KPIs; communicate data topics to business.
• Experience with agile product delivery and backlog management.
• Knowledge of merchandising economics: assortment, pricing, promotions, lifecycle, margins.

Responsibilities

• Define vision and roadmap; tie investments to objectives.
• Conduct discovery with merchants and cross-functional teams.
• Prioritize across assortment, pricing, promotions, supplier performance.
• Define rules, requirements, acceptance criteria, KPIs and quality expectations.
• Partner on data definitions, quality, lineage and access.
• Leverage Databricks to build scalable data products.
• Plan launch, adoption, training and measurement.
• Explore forecasting, optimization, AI-enabled support.
• Maintain backlog and manage delivery pace.

Skills

Product management

Data product

Analytics product

Agile delivery

Stakeholder communication

Education

Bachelor's degree

Tools

Databricks

Job description

BJ's Wholesale Club is seeking a Data Product Manager for Merchandising to own the vision, roadmap, and requirements of our merchandising data products on the enterprise data platform.

You will run discovery with merchants and cross-functional teams, define KPIs, data quality and adoption, and partner with data engineering, analytics, architecture, security and governance to deliver scalable, trusted data capabilities.