Senior Director, Enterprise Architecture - AI & Data

Overview Great brands reflect culture. The best ones help shape it. At Foot Locker, we’re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression.

As part of the DICK’S Sporting Goods family, you’re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We’re looking for great people who want to influence culture and the generation that is shaping what’s next.

Whether you’re building strategy, shaping innovations, or creating unforgettable customer moments, you’ll contribute to decisions and experiences that define our brands’ impact in the communities we serve.

Come change the game with us. Apply today!

Fully Remote; US ONLY At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization. The Senior Director, Enterprise Architecture (EA) leads a modern, AI-driven and execution-oriented enterprise architecture capability. This role focuses on translating business and technology strategy into working guardrails, reusable platform patterns, and measurable outcomes. The emphasis is on hands-on, practical architecture that accelerates delivery, reduces risk and complexity, and embeds architectural thinking directly into product and engineering workflows.

What Success Looks Like (Outcomes)

• Enterprise Architecture is embedded in delivery, not operating as an ivory-tower or documentation-only function.
• AI and platform decisions are standardized through enterprise reference architectures and paved roads.
• Architecture standards, guardrails, and decisions are enforced through automation and AI-enabled governance.
• Measurable improvements are realized in delivery rework reduction, modernization velocity, solution quality, cost optimization, and risk reduction.

Responsibilities AI-Driven Enterprise Architecture

• Define and evolve the enterprise AI architecture across user experience, governance, agent orchestration, verification and safety, models and LLMOps, data and knowledge, and runtime layers.
• Establish responsible AI, security, privacy, observability, and cost controls as architectural defaults across platforms.
• Partner with engineering and product leadership to ensure AI solutions are scalable, reusable, governed, and enterprise-safe.

Executable Enterprise Architecture

• Drive adoption of executable EA practices where architecture is machine-readable, automatable, and enforceable.
• Establish architecture-as-code and policy-as-code patterns using version-controlled standards, ADRs, and automated CI/CD checks.
• Shift governance left into delivery pipelines, reducing reliance on manual review boards.

Applied Architecture & Delivery Enablement

• Work hands-on with product and engineering teams on priority initiatives.
• Participate directly in roadmap planning, backlog refinement, solution design, and architectural tradeoff discussions.
• Ensure modernization efforts leverage standard cloud-native, API-first, and event-driven patterns.

Standards, Guardrails & Architecture Community

• Own enterprise architecture standards delivered as practical assets: templates, reference implementations, and guardrails.
• Operate architecture through an inner-source model that encourages contribution from architects and engineers.
• Lead and mature the architecture community of practice to drive consistency, reuse, and continuous learning.
• Establish architecture governance frameworks and ensure adherence to security, privacy, and regulatory standards such as SOC 2, GDPR, and HIPAA
• Lead architecture governance forums and define principles, standards, and best practices to ensure consistency and compliance

Landscape Optimization & Value Realization

• Use architectural insight and AI-driven analysis to identify cost, risk, and simplification opportunities.
• Establish transparency into application lifecycle, dependencies, and modernization readiness.
• Translate architecture insights into tangible financial and operational outcomes.

Qualifications

• Minimum …