Note: The job is a remote job and is open to candidates in USA. Photon is seeking a Data Product Manager to lead the vision, roadmap, and delivery of merchandising data products. The role partners with merchandising, data, engineering, analytics, governance, and business teams to define requirements, prioritize investments, ensure data quality, drive adoption, and evaluate AI-enabled decision-support opportunities.
Responsibilities
- Defines the vision and roadmap for merchandising data products and connects each investment to a stated merchandising or enterprise objective
- Runs discovery directly with merchants, category teams, pricing, planning, digital merchandising and adjacent users to understand decisions, workflows, pain points and unmet needs
- Owns prioritization across competing needs such as assortment, category performance, pricing, promotions, supplier performance, item hierarchy, product content and digital merchandising
- Defines business rules, canonical concepts, product requirements, acceptance criteria, KPIs and quality expectations clearly enough for data and engineering teams to build and validate
- Partners with data governance and domain experts to establish trusted definitions, ownership, quality thresholds, lineage and appropriate access for merchandising data
- Uses Databricks and the enterprise data platform to develop scalable, reusable data products rather than one-off reports or disconnected data extracts
- Plans launch and adoption beyond technical release, including workflow integration, training, support readiness, communications and product measurement
- Evaluates opportunities for forecasting, optimization, recommendations, experimentation and AI-enabled merchant decision support
- Maintains a healthy backlog, exposes dependencies early and drives delivery at a predictable rate while adjusting priorities when evidence or strategy changes
- Owns a portfolio of merchandising data products used across business and technology functions. Makes roadmap, scope and sequencing decisions within the product area and recommends investment trade-offs where shared data, platform capacity or business priorities conflict
- 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
Skills
- · 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 retail merchandising language and economics, including assortment, category management, pricing, promotions, item hierarchy, product lifecycle, supplier performance and margin
- · The role may require periodic time in clubs, distribution centers or other BJ's facilities to conduct discovery and understand operational workflows
- · Occasional business travel may be required based on product discovery, planning, implementation and stakeholder needs
- · Retail, wholesale club, grocery or consumer commerce experience
- · Experience with merchandising analytics, demand forecasting, product information, pricing or promotion optimization
- · Experience introducing AI/ML capabilities into merchant workflows and measuring adoption and value
Benefits
- Medical, vision, and dental benefits available for full-time employees
- 401k retirement plan available for full-time employees
- Variable pay/incentives available for full-time employees
- Paid time off available for full-time employees
- Paid holidays available for full-time employees
- CSC/Remote work arrangement
Company Overview
Company H1B Sponsorship