Senior Director, Enterprise AI

Job Overview

7-Eleven is on a multi-year journey to become an AI-first retailer—embedding intelligence into every store, every customer interaction, every enterprise decision, and every line of code we ship. We’re seeking a Senior Director, Enterprise AI to architect, build, and scale the AI platforms that will power that transformation.

Key Responsibilities

• Strategy & Retail AI Innovation
• Define and execute a multi-year enterprise AI roadmap aligned to customer, store, enterprise, and engineering priorities.
• Identify and scale high-impact use cases across all four pillars.
• Translate emerging capabilities (GenAI, agentic AI, predictive analytics, computer vision) into practical, production retail solutions.
• AI Engineering & Platform Delivery
• Own end-to-end AI engineering delivery: architecture → production → scale.
• Build and operate enterprise AI platforms — data pipelines, MLOps/LLMOps, real-time inference, agent orchestration, and GenAI tooling.
• Enable edge and real-time AI for in-store and customer-facing applications.
• Integrate AI into core systems (POS, mobile, loyalty, supply chain, enterprise platforms).
• Establish standards for scalability, reliability, and performance.
• Operational Impact & Scale
• Scale AI across thousands of stores and millions of customer interactions.
• Drive measurable outcomes across revenue, efficiency, and productivity.
• Establish KPIs for adoption, performance, and ROI across each pillar.
• Governance & Risk
• Implement responsible AI frameworks covering risk, compliance, data privacy, and security.
• Ensure enterprise-grade governance across all AI systems and agents.
• Leadership & Influence
• Build and lead a high-performing AI engineering organization.
• Partner across IT, Digital, Product, and Operations to drive adoption.
• Influence executive stakeholders and embed AI into core business strategy.

Qualifications

• 12–15+ years in AI/ML engineering, data platforms, or advanced analytics, with proven delivery at scale.
• Strong track record building production AI systems and platforms — including GenAI and agentic AI.
• Deep knowledge of ML, GenAI, MLOps/LLMOps, and cloud ecosystems (Azure, AWS, GCP).
• Experience with AI-assisted software development and modern SDLC tooling.
• Retail, multi-site, or customer-centric environment experience preferred.
• Ability to operate as both a hands-on technologist and a strategic leader.