Sr. Analyst, Retail Technology

Tapestry•New York, NY

About The Position

The Senior Analyst, Retail Technology will support the execution of Tapestry’s global Store Experience Transformation by delivering and sustaining modern, secure, and scalable retail technology solutions across store environments. This role will partner closely with cross-functional teams—including infrastructure, InfoSec, engineering and business stakeholders—to deploy and support technologies such as POS, RFID, traffic analytics, and mobile platforms. The successful individual will bring strong technical expertise, operational execution capability, and collaborative communication skills, contributing to global initiatives while ensuring adherence to security, compliance, and performance standards.

Requirements

Hands-on experience with Windows scripting (PowerShell; VBS in production environments)
Hands-on experience with Entra ID / Azure AD and Conditional Access policies
Hands-on experience with Endpoint management platforms (Intune, Jamf)
Familiarity with retail systems including POS, RFID, traffic analytics, and mobile device ecosystems
Familiarity with store hardware configuration and rollout processes
AI literacy with the ability to use AI-assisted tools to improve analysis, documentation, support workflows, and operational efficiency
Exposure to intelligent automation, data analysis, or predictive insights that support troubleshooting, reporting, and service optimization
Understanding of responsible AI practices, including attention to data quality, privacy, security, and appropriate human oversight
Foundational understanding of PCI-DSS standards
Awareness of secure device and identity management practices
Working knowledge of Agile/Scrum frameworks
Exposure to project-based delivery and cross-functional coordination
Strong cross-functional communication skills
Ability to translate technical tasks into clear updates for stakeholders
Proven ability to work effectively within a global, matrixed organization
Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience)

Nice To Haves

Experience supporting retail or store technology environments
Strong problem-solving skills and attention to detail
Ability to manage multiple priorities in a fast-paced environment
Willingness to learn and adapt to new technologies and business needs
Practical curiosity about AI-enabled tools and the ability to apply them responsibly to improve efficiency, insight, and service outcomes

Responsibilities

Support deployment and configuration of retail technologies including cloud based POS, RFID, traffic counting, mobile devices, and payment terminals
Assist with hardware rollout execution, ensuring standards are met across store environments
Provide operational support for production systems, including troubleshooting and continuous improvement
Administer and support endpoint environments across iOS, Windows, and MacOS devices using Intune and Jamf
Support implementation and maintenance of Entra ID (Azure AD) and Conditional Access policies
Develop and maintain automation scripts (PowerShell, VBS) to improve operational efficiency and system reliability
Ensure adherence to PCI-DSS requirements in store technology environments
Follow established security and compliance guidelines when managing devices, systems, and configurations
Partner with InfoSec teams to align on best practices for secure implementations
Contribute to project execution using Agile/Scrum methodologies, including sprint planning, backlog updates, and deliverable tracking
Support implementation timelines, issue resolution, and escalation as needed
Participate in pilot programs and assist in scaling solutions globally
Collaborate with global teams across regions, functions, and time zones to support consistent delivery
Communicate effectively with both technical teams and business stakeholders
Provide clear status updates and documentation related to deliverables, risks, and progress
Use AI-assisted tools and data-driven insights to help identify trends, improve support processes, accelerate issue triage, and enhance operational decision-making across retail technology environments
Support evaluation and adoption of AI-enabled capabilities where appropriate, including automation, analytics, and intelligent support tools, while aligning with security and compliance standards
Apply sound judgment in the responsible use of AI to improve productivity, documentation quality, and service outcomes without compromising accuracy, privacy, or governance requirements