Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
They will collaborate closely with senior leaders across Data, AI, Knowledge, Platform Engineering, Cloud Infrastructure, Security, and Architecture, while partnering with product and engineering teams across Nike Digital, Supply Chain, and Enterprise Technology, as well as external technology partners and vendors driving platform innovation and scale. They will also provide technical leadership to a broad community of principal engineers, architects, and engineering teams across geographies, shaping a culture of engineering excellence through mentorship, technical guidance, and cross-functional influence.
We are looking for a seasoned technical leader with deep expertise in enterprise data and analytics platforms—someone who combines strong architectural judgment with hands-on experience building and scaling modern data ecosystems in complex, global environments. This individual should be fluent in cloud-based platforms, distributed systems, and modern data components, including batch and streaming pipelines, orchestration, storage, metadata, and observability. A strong foundation in semantic layers, ontology, taxonomy, and knowledge graphs is critical, along with the ability to design platforms that support the full data lifecycle—from ingestion and transformation to governance and self-service access.
The ideal candidate brings proven experience defining technical direction, simplifying complexity, and establishing scalable architectural patterns, standards, and guardrails that drive consistency, reliability, and long-term maintainability. Beyond technical depth, we are looking for someone who can partner effectively across engineering, product, infrastructure, and security teams, and who leads through influence, mentorship, and credibility to elevate engineering excellence and align platform capabilities with business and developer needs.
You will shape the technical direction of Nike’s enterprise data, analytics, and AI platforms, driving architecture, modernization, and innovation at global scale. You will partner across engineering, product, infrastructure, and security to build resilient, intelligent, and self-service capabilities that accelerate business impact.
You will define and advance the long-term technical strategy for enterprise data and AI platforms, with a focus on scalability, resilience, security, and cost efficiency.
You will establish standards and reference patterns for platform design, governance, observability, automation, and high-quality data operations.
You will partner with product, platform, infrastructure, and security leaders to align roadmaps and enable self-service experiences at scale.
You will champion innovation in AI, GenAI, automation, and real-time data capabilities to unlock new platform and developer value.
A strong understanding of enterprise data privacy, governance, and access controls, with the ability to design and enforce safeguards that protect sensitive data.
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
