Director, Supply Chain AI/ML Engineering

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $166,100.00 in our lowest geographic market to $392,700.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

Director – AI/ML Engineering

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and redefine what can be. We look for colleagues who can grow, think, dream and create. Our culture thrives by embracing diversity and rewarding imagination. The Nike 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 ARE WE LOOKING FOR 

Nike is looking for a seasoned 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 Director of AI/ML Engineering, you will be a cross-disciplinary (data/API/infra/infosec/ML) engineering leader for teams 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 directly to the Senior 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 analytics, machine learning, artificial intelligence, and data science. 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.  Model 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 leaders 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 proven 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