Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.
Who You’ll Work With
At Nike, we leverage the transformative power of data and technology to empower
athletes* everywhere. The Data & AI (DAI) team is instrumental in building advanced platforms that are scalable, secure, and intelligent, supporting critical decision-making across the Nike universe and enabling tailored experiences for every member of our global community.
Who We Are Looking For
We are searching for a dynamic and driven engineering manager who excels at nurturing high-performing teams. The successful candidate will thrive in a fast-paced, collaborative setting and possess a strong track record of developing and delivering sophisticated data platforms and innovative services.
Skillset Required
- Demonstrated technical leadership with deep knowledge and experience in delivering production grade software at scale. Able to dive deep into code and architecture to provide an informed opinion on benefits/trade-offs of different design choices.
- A minimum of 10 years’ comprehensive experience in software development, demonstrating a deep understanding of distributed systems, cloud-native architectural approaches, and modern data platform technologies.
- Comparable Bachelor’s Degree in computer science, software engineering, or applicable field (master’s degree or Ph.D. preferred).
- At least 3 years of proven leadership experience, successfully managing engineering teams with a focus on recruiting top talent, fostering professional growth, and mentoring team members toward career advancement.
- Demonstrated expertise in deploying solutions on at least one major cloud platform—including AWS, Azure, GCP, or OCI—with the ability to adapt to new environments and technologies as needed.
- Extensive practical experience with state-of-the-art technologies in the AIML space, fluency in open-source technologies and impact of standardized platforms. Ability to make build versus buy decisions for AIML tools and technologies.
- A strong familiarity with agentic workflow and current developments in the AI/LLM application landscape.
- Strong grounding in data pipeline frameworks and architectures, coupled with advanced knowledge of metadata management and the implementation of rigorous data governance controls to ensure integrity, security, and compliance.
- Expertise in architectural design patterns and mastery of foundational computer science principles, supporting the creation of resilient, maintainable software systems.
- A proven ability to conceptualise, develop, and deliver high-impact services that scale effectively to meet the demands of a global enterprise.
- Outstanding communication skills and adept stakeholder management, enabling productive collaboration across diverse teams and effective engagement with senior leadership, partners, and key business units.
What You’ll Work On
- Guide and inspire a dedicated team of software engineers, steering them in designing, building, and maintaining robust and scalable data platforms and services that support enterprise-wide needs.
- Lead efforts to architect and deliver SDKs, APIs, and microservices, ensuring that solutions are tailored to meet the evolving data and analytics demands of the organisation with precision and agility.
- Work in close partnership with product managers, architects, and fellow engineering leaders to collaboratively define the overall technical strategy, set ambitious goals, and shape the long-term roadmap for data and analytics initiatives.
- Install a team culture grounded in continuous improvement, creative problem-solving, and a commitment to engineering excellence, fostering an environment where innovation flourishes.
- Champion and enforce best practices in software engineering, data governance, operational monitoring, and platform observability, ensuring stability, compliance, and quality across all deliverables.
- Align engineering projects and decisions with the broader organisational vision, focusing on transformative priorities such as digital modernisation, cloud cost efficiency, and strong data governance frameworks.
- Development of agentic and AI/LLM powered enterprise applications
- Embrace and embody Nike’s core values (maxims) in your work and interactions with peers, stakeholders, and direct reports. Model clarity and accountability as a leader of Nike. Communicate effectively, build trust and strong relationships across the company, do the right thing.
OUR HIRING GAME PLAN
01 Apply
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
02 Meet a Recruiter or Take an Assessment
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
03 Interview
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.
