WHO ARE WE LOOKING FOR

Nike is looking for an experienced Engineering leader who can lead and grow teams of machine

learning engineers, data scientists, and software architects to deliver scalable machine learning and artificial intelligence solutions to customers across our business. As a Sr. Manager in AI/ML Engineering , you will be a part of a cross-disciplinary (data/API/infra /infosec /ML ) engineering leadership team tasked with executing on the AI/ML organization's charter. In this role you will be working at the intersection of machine learning and engineering ( i.e., MLOps ), leading teams to deliver innovative and high - quality services which power Nike 's supply chain . You will be a strong advocate for both engineering best practices ( e.g. code reviews, unit testing) and also the adoption of new technologies (e.g. DataBricks , SageMaker, LLM optimization ) which can help us move faster on our journey. In this way, you will be responsible for coaching engineers to continuously elevate their engineering skills and for growing their careers at Nike.

WHO WILL YOU WORK WITH
Artificial Intelligence and Machine Learning (AI/ML) is one of the key groups within Data and Artificial Intelligence and we have been chartered to help scale machine learning across Nike. We bring cross-disciplinary teams of data scientists and engineers to areas of the business which are early in their analytics journey. For areas of the business which are more mature and already have data science teams, we help scale machine learning by providing squads of engineers to maximize the velocity of those data science teams in delivering value to the business. Lastly, we work closely with our platform and architecture partners to develop capabilities which help machine learning scale easier at Nike ( e.g. model management, A/B testing, feature stores). This role reports to the Director of AI/ML Engineering .

Essential Job Functions:

• Serve as part of a cross-functional leadership team to grow highly skilled, diverse engineering teams that deliver solutions which unlock machine learning for Nike. Engage employees , assist the teams by removing roadblocks, and align efforts across Nike's matrix to drive progress forward and always win as a team .

• Leverage your prior experience, knowledge of industry trends, and personal creativity to develop and drive new and innovative solutions which delight our customers in their mission to serve Athletes .

• Stay current with industry trends and recommend relevant technologies & products in the areas of a nalytics , m achine l earning, a rtificial i ntelligence , and d ata s cience. Given the rapid pace of change in technology and machine learning today, always be pushing the boundary of what's possible and be on the offense always .

• Embrace and embody Nike's core values (maxims) in your work and interactions with peers, stakeholders, and direct reports . M odel clarity and accountability as a leader of Nike. Communicate effectively, build trust and strong relationships across the company, do the right thing .

• Be a mentor to teams, individuals, and technical l eaders to foster motivated contributors, collaborative stakeholders, and high performing teams. Set high standards for engineering excellence, MLOPs, operational excellence, and drive innovation.

• Curiosity .

WHAT YOU BRING TO NIKE

• A demonstrated technical leader 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 choice.

• Comparable Bachelor's Degree in computer science, software engineering, or applicable field ( ' s degree or Ph.D. preferred) .

• 7+ years of experience across multiple roles in developing production ized code in software or data engineering, machine learning or a related field ( experience delivering analytics and ML products preferred) .

• 4+ years in a leadership or management role using Agile frameworks, processes, and team structures.

• F amiliarity with ETL , ML , or analytics technologies such as Scikit-learn, Dask , Tensorflow , Kubeflow, Spark, EMR, or similar platforms and frameworks .

• Must be able to meaningfully communicate , written, orally, and visually, technical topics with stakeholders and articulate the benefits and tradeoffs of each solution and connect them to business value.

• F lu ency in the application of open-source technologies and the impact of standardized platform s . Ability to make build /buy decisions in the area of Data Science, AI, & ML.

• Must be able to articulate and evangelize MLOps , code management workflows, infrastructure as code, and the lifecycle of model development from experimentation to production and measurement. This will include a d eep knowledge of software architecture and engineering best practices, especially modern cloud computing stacks for deploying machine learning at scale.

• Experience in team leadership and building positive relationships across Product, Architecture, and Engineering, and ability to influence decisions and changes across loosely coupled teams.

• The habits of a constant learner.

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 committed to employing a diverse workforce. 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.

Benefits

Whether it's transportation or financial health, we continually invest in our employees to help them achieve greatness - inside and outside of work. All who work here should be able to realize their full potential.