AI Commerce Data Architect & Strategy Lead

Embedded Shishya; United States; Hybrid; USD 110,000 - 180,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee Assistance Program (EAP)

Job summary

NIQ is seeking a Director, Product, AI Commerce Analytics & Data Strategy to own the AI and data strategy and the supporting architecture for its AI Commerce initiatives. The role partners with senior leaders to set standards and drive data‑driven product operations that scale across the organization.

The ideal candidate has 15+ years in digital/AI with a proven ability to translate complex AI concepts into actionable business outcomes, and to persuade executives to adopt innovative data

Qualifications

• 15+ years of digital, technology, or AI experience across e‑commerce, CRM, and applied AI architecture.
• Proven track record originating methodologies and standards, proven in bounded pilots.
• Ability to translate deep technical AI concepts into business outcomes for senior stakeholders.
• Experience guiding architecture and governance for AI platforms across partnerships and products.

Responsibilities

• Own AI and data strategy for AI Commerce partnerships and products.
• Set architecture, governance, and standards for data assets.
• Translate complex AI concepts into actionable guidance for executives and partner stakeholders.
• Lead cross‑functional alignment between product, partnerships, and data discipline.

Skills

AI strategy

Multi-agent architecture

Knowledge-base design

Prompt engineering

Executive stakeholder communication

Job description

NIQ is seeking a Director, Product, AI Commerce Analytics & Data Strategy to own the AI and data strategy and the supporting architecture for its AI Commerce initiatives. The role partners with senior leaders to set standards and drive data‑driven product operations that scale across the organization.

The ideal candidate has 15+ years in digital/AI with a proven ability to translate complex AI concepts into actionable business outcomes, and to persuade executives to adopt innovative data