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Photon

Builds custom software and AI for big companies

Data Product Manager - Supply Chain

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of relevant product management, data product, analytics product or comparable experience.
  • A 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 key performance indicators, 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 supply chain language and strategy, including inventory, replenishment, forecasting, purchase orders, distribution-center operations, transportation, fulfillment, service levels and exception management.
  • Ability to build consensus across functions without reporting lines, change direction based on evidence, hold commitments across concurrent workstreams, communicate constraints early, and uphold ethical, privacy, security, quality and governance standards.
  • Work may require periodic time in clubs, distribution centers or other company facilities to understand operational workflows.

Responsibilities

  • Define and maintain the roadmap for supply chain data products, aligning investments to service, inventory, productivity, cost and member-availability objectives.
  • Conduct discovery with supply chain operators and leaders across clubs, distribution centers, transportation, replenishment, fulfillment and planning to understand decisions and operational constraints.
  • Own prioritization across inventory visibility, in-stock and out-of-stock insights, replenishment, distribution-center throughput, transportation, order visibility, exception management and network performance.
  • Define canonical business concepts, operational key performance indicators, business rules, event requirements, latency expectations, acceptance criteria and data quality thresholds.
  • Partner with engineering, analytics and architecture to deliver governed products on Databricks that support analytical and operational workflows.
  • Build a path from descriptive visibility to predictive and prescriptive decision support, including exception alerts, demand sensing, inventory optimization and scenario planning when justified by evidence.
  • Plan launch, workflow integration, training, support readiness and adoption with operational users.
  • Make dependencies across merchandising, clubs, finance, vendors, logistics systems and shared data visible before they affect committed outcomes.
  • Measure product performance through adoption, timeliness, quality, decision-cycle improvement and the operational outcomes each product is intended to influence.
  • Own an end-to-end portfolio of supply chain data products and make roadmap, scope and sequencing decisions within that portfolio.
  • Recommend trade-offs across operational domains and shared platform capacity.
  • Reconcile definitions across systems, balance real-time needs against feasibility, and distinguish root causes from symptoms when designing products for operational settings.
  • Create clarity across business, data, engineering, analytics, architecture, security and change-management partners; make trade-offs visible; and hold the product team accountable for outcomes and adoption.
  • Occasional business travel may be required based on product discovery, planning, implementation and stakeholder needs.

Desired Qualifications

  • Experience in retail, wholesale clubs, grocery, distribution, logistics or omnichannel fulfillment.
  • Experience with warehouse management systems, transportation management systems, enterprise resource planning systems, order management, inventory, robotics or automation data.
  • Experience with control towers, forecasting, optimization, event-driven data products or operational artificial intelligence.

About the Company

Photon

Builds custom software and AI for big companies

Photon designs, builds, and runs custom software for large companies, combining an in-house creative agency with its own engineering teams. Its flagship client work includes rebuilding Samsung's US online store as a set of smaller linked services and creating Olive Garden's mobile app, which lets diners join the waitlist from their phones instead of waiting at the door. Clients hire Photon's teams to plan and code their apps, websites, and AI tools and to keep them running afterward, paying for the engineers and designers assigned to each project. Photon is privately held and based in London, with its US arm in Dallas and engineering centers in Chennai and Bengaluru.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
Not listed

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