Senior Director, Enterprise Architecture
Overview
At Foot Locker, we're rooted in sport, powered by style, and driven by the communities that move both. We're part of the DICK’S Sporting Goods family, offering the resources, reach, and career opportunities of a world-class sports company. We're looking for great people who want to influence culture and the generation shaping what's next.
Responsibilities
- 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.
- Drive adoption of executable EA practices where architecture is machine-readable, automatable, and enforceable.
- Enable modernization efforts leveraging standard cloud-native, API-first, and event-driven patterns.
- Own enterprise architecture standards delivered as practical assets, including templates, reference implementations, and guardrails.
- Mentor and build a high-performing architecture team, fostering innovation, collaboration, and alignment across the enterprise.
Qualifications
- Minimum Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- Master’s degree preferred.
- 10+ years of experience in enterprise, platform, solution, or domain architecture roles within large-scale, complex organizations.
- Proven experience defining and operationalizing enterprise guardrails such as architecture standards, reference architectures, and automated governance.
- Hands-on experience with cloud platforms, data ecosystems, and modern integration patterns (API-first, event-driven, domain-oriented).
- Strong understanding of modern AI system architecture, including model lifecycle management, LLMOps/MLOps, knowledge architectures, and human-in-the-loop decision patterns.
- Ability to translate AI and architecture tradeoffs into business outcomes including cost optimization, risk reduction, and delivery acceleration.
Benefits
- Average annual base salary range: $200,000 - $265,000.
- Eligible for short and long-term incentives aligned with individual and company performance.
- Includes employee discount, paid time off, medical/dental/vision coverage, 401(k)/Roth 401(k), stock purchase plan, life insurance, flexible spending account, tuition reimbursement for qualified courses, and opportunities for advancement.
Pay
The annual base salary range is $200,000 - $265,000. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short and long term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.
Schedule
Fully Remote; US ONLY