Director, Enterprise Artificial Intelligence (AI

Interface is a global flooring and sustainability leader dedicated to rethinking how spaces work for people and the planet. Our portfolio includes Interface carpet tile and LVT, nora rubber flooring, and FLOR premium area rugs. Across every brand, we innovate in a way that combines design, performance, and sustainability—without compromise.

Trusted by architects, designers, and building professionals worldwide, we help bring bold visions to life with solutions that deliver real, measurable impact. Building on more than 30 years of sustainability progress and industry‑first innovation, we remain ‘all in’ on our goal of becoming carbon negative by 2040, without the use of offsets.

The Director, Enterprise Artificial Intelligence (AI) is responsible for driving the execution of Interface’s enterprise AI strategy—translating vision into scalable, secure, and value-generating solutions across commercial and corporate functions.

This role serves as the bridge between business leaders, technology teams, and strategic partners to identify, prioritize, and deliver AI use cases that improve decision-making, accelerate growth, and increase operational efficiency—while ensuring strong governance, security, and ethical use of AI.The role will act as Interface’s AI execution leader, owning delivery, adoption, and measurable outcomes, not experimentation in isolation.

Key Responsibilities:

AI Strategy Execution & Delivery
• Execute Interface’s enterprise AI roadmap, aligned to company strategy, digital priorities, and value creation goals.
• Translate strategic AI priorities into clearly defined programs, use cases, and roadmaps with measurable business outcomes.
• Lead delivery of AI initiatives across domains and functions.
• Provides Project Management services for the key AI projects.

Use Case Identification & Business Partnership
• Partner with senior business leaders to identify, vet, and prioritize high-impact AI opportunities.
• Drive structured use case intake, value assessment, and sequencing to ensure focus on ROI-driven outcomes.
• Serve as a trusted advisor to business teams on where and how AI can responsibly accelerate results.

AI Architecture
• Define and lead the enterprise AI architecture strategy, establishing scalable, secure, and reusable AI platforms, services, and integration patterns
• Design and govern the enterprise AI ecosystem, including large language models (LLMs), AI agents, knowledge platforms, data foundations, vector databases, orchestration frameworks, APIs, and cloud AI services
• Architect enterprise data and knowledge foundations for AI, including data pipelines, metadata, semantic layers, retrieval-augmented generation (RAG), knowledge management, and data quality controls required to deliver trusted AI outcomes.
• Drive AI technology standards and solution architecture reviews, evaluating emerging AI capabilities, platforms, vendors, and reference architectures while ensuring interoperability, scalability, reliability, and operational excellence across the enterprise

Governance, Risk & Responsible AI
• Lead AI governance in partnership with Security, Legal, Privacy, and Compliance teams.
• Ensure AI solutions align with Interface standards for:

- Data privacy and security
- Ethical and responsible AI use
- Model transparency and explainability
• Establish guardrails, patterns, and standards for internal and vendor-provided AI solutions.

Technology & Partner Management
• Leverage strategic platforms and partners (e.g., Microsoft, Salesforce, Adobe, Workday, others) to accelerate AI adoption.
• Evaluate third-party AI tools and embedded AI capabilities with a “buy vs. build” mindset.
• Collaborate with Enterprise Architecture and Engineering teams to ensure scalability,…