Global Retail Tech & AI Program Lead

Tapestry, Inc.

New York (NY)

On-site

USD 125,000 - 135,000

Full time

13 days ago

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(K)
Paid leave
Commuter benefits
Disability insurance
Tuition assistance

Job summary

Tapestry, Inc. is seeking a Retail Technology Program Manager to drive store technology initiatives across our global fleet.

The role partners with business, infrastructure, InfoSec, engineering, and vendors to pilot and deploy POS, RFID, traffic analytics, and mobile platforms while upholding security and privacy standards. The successful candidate will lead end-to-end deployments, manage pilots, and scale AI-enabled capabilities to improve store operations, associate productivity, and customer

Qualifications

  • Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent experience).
  • Experience delivering global, multi-region store technology rollouts.
  • Strong knowledge of Agile/Scrum delivery methodologies.
  • Experience with device management (Intune/Jamf) and identity security (Entra ID/Azure AD).

Responsibilities

  • Lead end-to-end deployment of retail store technologies across global store fleet.
  • Drive global rollouts with consistent standards and regional compliance.
  • Manage pilot programs and scale successful solutions to production.
  • Partner with InfoSec, Legal, and Privacy for security and privacy reviews.

Skills

Retail technology
Program management
Global rollout
Agile/Scrum
Cross-functional

Education

Bachelor's degree in IT/CS or related field

Tools

Intune
Jamf
Azure AD / Entra ID
PowerShell
VBS
POS systems
RFID

Job description

Tapestry, Inc. is seeking a Retail Technology Program Manager to drive store technology initiatives across our global fleet.

The role partners with business, infrastructure, InfoSec, engineering, and vendors to pilot and deploy POS, RFID, traffic analytics, and mobile platforms while upholding security and privacy standards. The successful candidate will lead end-to-end deployments, manage pilots, and scale AI-enabled capabilities to improve store operations, associate productivity, and customer

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