Nike Sport Research Lab (NSRL) is looking for a visionary leader to define the long-term vision for how athlete data can transform the way athletes train and inspire the next generation of footwear and apparel innovation.
Requirements
- Expertise in advanced analytics, machine learning, statistical modeling, and algorithm development.
- Proficiency with modern data science tools and frameworks (Python, R, TensorFlow, PyTorch, etc.).
- Experience with sport-science data (biomechanics, physiology, or performance data) strongly preferred.
- Skilled in analytics, statistical methods, and integrating complex data sets to uncover insights.
- Fluent in the technology and tools to inform evolution of the athlete* data foundation.
- data science or a related field, with at least 5 years of leadership experience (preferably in a research or innovation setting dealing with human performance, movement and/or wellness data).
- Demonstrated success in setting a vision, defining a portfolio of work, and delivering results.
Responsibilities
- Define and communicate a bold vision for how data powers athlete* performance and product innovation.
- Lead and prioritize a portfolio of projects that bring that vision to life.
- Anticipate future trends in sports science, relevant technology, and AI/ML.
- Manage and mentor a team of data scientists with ML and computer vision expertise.
- Connect complex, diverse data sets (biomechanics, physiology, product performance, consumer data, etc.) and run advanced statistical analyses to extract insights.
- Partner with internal and external data and technology providers to design the infrastructure, platforms, and tools needed to scale athlete data capabilities.
- Establish common data taxonomy and standards across the NSRL to ensure consistency and interoperability.
Other
- A visionary strategist who can also execute with precision.
- An innovator energized by charting new paths and building scalable solutions, with the patience needed to do so in a corporate environment.
- A proven people leader with experience managing teams and portfolios of projects.
- Experience in human movement research with the ability to translate science into practical applications.
- Collaborative and influential, comfortable operating across research, business, and technology domains.
