Director, AI Commerce Analytics (USA Based Remote)

Company Description

The Director, Product, AI Commerce Analytics & Data Strategy owns the AI and data strategy and the supporting architecture for NIQ's AI Commerce partnerships and AI-driven product operations. The role initiates the approaches, methodologies, and standards that other teams then execute and operate, and is regarded as NIQ's functional authority on how its data assets translate into the agentic-commerce environment. Within NIQ's Artificial Intelligence (AI) Commerce function, this role works alongside the Director, Product, AI Commerce and the Director, Product, AI Commerce Product Partnerships; the SVP, AI Commerce leads the overall AI Commerce strategy, including how the product, partnerships, and Commerce Lab pillars connect. It exists to define what NIQ's data products can credibly promise as commerce moves from shelf and search to agent-mediated discovery, to set the technical and strategic standards that keep those promises defensible, and to carry that strategic data positioning directly into active, pre-contract partner negotiations. It operates as an individual contributor, driving outcomes through expertise, originated standards, stakeholder persuasion, and an analytical, data-driven approach rather than through direct reports. 

Job Description

Strategy & Vision 

• Set NIQ's AI and data strategy for AI Commerce partnerships and products that establish NIQ's role in the AI Commerce Platform ecosystem. 

• Anticipate where NIQ's data and AI architecture needs to evolve as commerce moves toward agent-mediated discovery, and originate the framing the function executes against, including concepts such as share of agent recommendation as the successor to share of shelf and an Agent Readiness methodology. 

• Originate net-new methodologies where no established approach exists, prove them through bounded pilots, and transfer them to a standing team. 

• Provide functional thought leadership on agentic commerce to the SVP, AI Commerce and other executive stakeholders. 

AI & Data Architecture Ownership 

• Develop the architecture for AI-driven systems across the partnership and product-operations portfolio, including multi-agent system design, knowledge-base structure, and the instruction and governance standards that keep those systems consistent and domain-accurate. 

• Establish AI-tooling governance as a discipline distinct from process governance, with its own owner, cadence, and standards, and maintain that boundary as the organization adopts it. 

• Research, organize, document, and communicate the critical data and information inputs required for AI Commerce partnerships, product, and Commerce Lab to succeed, with the goal of getting dependent teams’ commitment to resource AI Commerce needs

Stakeholder and Executive Leadership <