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.
