Quick overview
Job description
What you'll own
The RFID product roadmap from pilot to full rollout, with clear success metrics: count accuracy, shrink and floor out-of-stocks
Inventory accuracy: RFID cycle counts in stores, EPC-level receiving at DCs, and the rules for when an RFID count updates the SKU-level perpetual inventory
Loss prevention: exit read data, shrink reporting by department, and what asset protection needs from item-level data
Findability: locating items with handhelds, getting backroom stock to the floor, and accurate in-store availability for BOPIS and ship-from-store
The bridge between serialized RFID data (EPC/SGTIN) and SKU-based systems, including GTIN-to-SKU mapping and the data that lands in Google Cloud Platform/BigQuery
Day-to-day work with the RFID platform vendor and cloud partners: priorities, releases and issues
Store and DC adoption: training input, feedback loops and pilot readouts for leadership
What you bring
7+ years in product management, with at least one item-level RFID program at a retailer taken from pilot to rollout
Hands-on time with store operations and distribution center teams, not just headquarters
A working grasp of GS1 standards (GTIN, EPC/SGTIN) and how RFID counts reconcile with perpetual inventory
Experience managing an RFID platform vendor such as Nedap, Checkpoint, Avery Dennison, SML or Zebra
Comfort writing requirements for data and integration work: APIs, event data, cloud data warehouses
Clear written updates for executives and plain instructions for store teams
Nice to have
Apparel or department store background
Exposure to shrink, exit-read or asset protection data
Experience with vendor source-tagging mandates or Auburn University RFID Lab (ALEC) approvals
Google Cloud Platform or BigQuery experience
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