Senior Director, Data Science


Remote, US

March 23, 2022

Senior Director, Data Science (Commercial Analytics) (Open to remote work, except the following locations: SD, VT, and WV)

- Beaverton, Oregon

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The 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.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

Nike’s Commercial Analytics team provides descriptive, predictive, and prescriptive solutions to drive business decisions that ensure consumers have access to the products they want when and where they want them. That’s no easy task! Come help Nike continue to develop our data science team.


At Nike, we are always on the offense, and we are looking for an analytics expert who has a robust business acumen and a proven track record of creating measurable impact. The Senior Director, Data Science will manage a team of data scientists to develop and implement new forecasting capabilities to enable data-driven and consumer-led decisions for Nike’s commercially oriented functions with a focus on supporting demand planning / digital demand sensing.

Strong candidates are comfortable learning quickly and thrive in an entrepreneurial environment – i.e., they are curious self-starters, flexible problem solvers, outstanding communicators, and disciples of progress over perfection. A team-player attitude is essential, since we value a culture that is collaborative, intellectually curious, and diverse.


As the Senior Director, Data Science you will:

  • Set department’s strategy to enable the design of scalable, end-to-end analytics forecasting solutions, and identify and build new opportunities for cross-squad collaboration, increased code sharing across teams, and enhanced scalability of solutions across multiple partner groups. Drive strategy around implementing new data science methodologies and selection of new tools.

  • Lead a team of data scientists. Recruit, manage, mentor, and inspire data science team(s); managing performance, goals and development potential. Cultivate professional development opportunities. Help team members establish development goals, align goals with business priorities, develop for the future, and evaluate success.

  • Partner with analytics product managers to anticipate, identify and facilitate the solution to enterprise issues concerning critical business needs, and support product road-mapping and prioritization decisions across the analytics portfolio.

  • Partner with engineering teams to influence enterprise-level data products, IT architecture, and engineering platform strategies to meet the needs of business and the data science solutions. Help shape Nike’s central data science platform by identifying foundational data science capabilities and creating scalable, reusable, and customizable analytical components.

  • Work with key business partners to understand and anticipate current and future business needs. Evangelize data science and help senior leadership identify business areas where data science will make the biggest impact. Evangelize the value of analytic products through effective storytelling and collaboration with key partners.

  • Keep abreast of technology trends as well as emerging data science tools, techniques, and standard methodologies.

  • Create and foster an environment that values and promotes diversity and inclusion, autonomy, skill mastery, empowerment, transparency, innovation, and continuous learning


You will be on the leadership team of Global Commercial Analytics Data Science team. You will collaborate closely with your peers in analytics, business partners, product management, and technology. Core partners include Demand and Supply Management (demand planning) and Supply Chain.


Education & Experience

  • Bachelor’s degree in Mathematics, Statistics, or related field or equivalent combination of education and experience

  • 10 years of hands-on data science experience developing analytics systems and working with big data


  • A strong problem solving and analytical mindset. Excels at critical thinking. Able to break complex problems into smaller parts.

  • Experience in building and leading successful data science teams including mentorship and career development of team members.

  • Understand the ecosystem of diverse skills that need to come together to make a large-scale data science project successful at enterprise scale. Extensive and/or in-depth knowledge of data science, machine learning, forecasting and optimization modeling and algorithms.

  • Able to influence and communicate effectively, both verbally and written, with team members, business partners and leadership. Experience in conveying complex information in easy-to-understand language.

  • Able to demonstrate leadership and influence critical business outcomes in a matrix based, global environment

  • Demonstrated understanding of market demand and supply interactions. Familiarity with common data sets related to products, consumers, market performance and supply chain.

  • Demonstrated experience in leading technical projects at enterprise scale and managing a team through all stages of Data Science/Analytics lifecycle.

  • Strong familiarity with modern software practices, technologies and programming languages, such as Python, SQL, Git.

  • Strong familiarity with the Agile development process and proven ability to prepare a project plan, communicate the plan to the team and break the work down to trackable tasks.

  • Proven track record of effectively influencing and collaborating with multi-functional partners to identify new opportunities, solve complex business problems and build impactful analytics solutions.

  • Deep knowledge and experience with a diversity of tools and platforms (Prefer experience w/ Python, Spark, AWS or other cloud environments). Able to quickly pick up new programming languages, technologies, and frameworks

  • Expert understanding of solution and technical design

Open to remote work, except cannot work in South Dakota, Vermont, and West Virginia. These candidates will be required to relocate.

For employees based in Colorado, this position starts at $199,000 per year. Information about benefits can be found here.

Nike requires all applicants for this position to be vaccinated for COVID-19 as a condition of hire, unless otherwise required by law. As an equal opportunity employer, Nike will make accommodations to individuals who cannot be vaccinated in accordance with applicable law.

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.

How We Hire

At NIKE, Inc. we promise to provide a premium, inclusive, compelling and authentic candidate experience. Delivering on this promise means we allow you to be at your best — and to do that, you need to understand how the hiring process works. Transparency is key. * This overview explains our hiring process for corporate roles. Note there may be different hiring steps involved for non-corporate roles.


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.

  • Employee Assistance Program

  • Employee Stock Purchase Plan (ESPP)

  • Holidays

  • Medical Plan

  • Paid Time Off (PTO)

  • Product Discounts

  • Sabbaticals

Job Details

  • Job title Senior Director, Data Science (Commercial Analytics) (Open to remote work, except the following locations: SD, VT, and WV)

  • Brand Nike

  • Career area Technology

  • Location Beaverton, Oregon, United States

  • Job ID 00562716