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 applicationsEmbrace 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.