Product Data Manager- Supply Chain

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out

Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

We are looking for a Product manager who has extensive exp in Data Product And Supply chain.

Data Product Managers decide what gets built and why for supply chain data products. This role owns the vision, roadmap, prioritization and requirements for trusted data capabilities supporting inventory flow, replenishment, distribution, transportation, fulfilment and operational decision-making. It connects supply chain strategy to reusable products on the Databricks enterprise data platform and is accountable for adoption, data trust, operational value and time to action.

• Defines and maintains the roadmap for supply chain data products, aligning investments to service, inventory, productivity, cost and member-availability objectives.
• Runs discovery with supply chain operators and leaders in clubs, distribution centers, transportation, replenishment, fulfillment and planning to understand decisions and operational constraints.
• Owns prioritization across inventory visibility, in-stock and out-of-stock insights, replenishment, DC throughput, transportation, order visibility, exception management and network performance.
• Defines canonical business concepts, operational KPIs, business rules, event requirements, latency expectations, acceptance criteria and data quality thresholds.
• Partners with engineering, analytics and architecture to deliver governed products on Databricks that support both analytical and operational workflows.
• Builds a path from descriptive visibility to predictive and prescriptive decision support, including exception alerts, demand sensing, inventory optimization and scenario planning where justified by evidence.
• Plans launch, workflow integration, training, support readiness and adoption with operational users, recognizing that value is realized only when decisions and behaviors change.
• Makes dependencies across merchandising, clubs, finance, vendors, logistics systems and shared data visible before they affect committed outcomes.
• Measures product performance through adoption, timeliness, quality, decision-cycle improvement and the operational outcome each product is intended to influence.

Owns an end-to-end portfolio of supply chain data products and makes roadmap, scope and sequencing decisions within that portfolio. Recommends trade-offs across operational domains and shared platform capacity. Products may serve corporate, distribution-center, club and field users, with impact measured through adoption, data quality, decision speed and relevant supply chain outcomes.

Supply chain problems are cross-functional, time-sensitive and dependent on rapidly changing inventory, order and logistics signals. The role must reconcile definitions across systems, balance real-time needs against feasibility and distinguish root causes from symptoms while designing products that work in operational settings.