Sr Data Science Product Manager

Nike, Inc.
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Job Description

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.


We are looking for a Senior Data Science Product Manager that is passionate about machine learning and personalization. This person will lead cutting-edge, AI / ML algorithm-centered innovation projects aimed at delivering new experiences for Nike members that drive business value to Nike, and deliver insights to the business to inform footwear and apparel product development, distribution of Nike products with an emphasis on DTC and brand&marketing insights and activations to help power the world’s biggest brand.


  • Assist with the development and execution of product vision and strategy, lead the end-to-end lifecycle of a product (ideation through sustainment), and help identify market opportunities.
  • Lead the business of the data products as well as the functionality, design, and features.
  • Define and implement thorough roadmaps and product priorities based on a solid understanding of consumer needs and data science.
  • Influence, educate, and advocate on tactical product decisions as well as the strategic decisions to enable the next slate of amazing experiences for our Members.


You will lead cross-functional product management squads across the Nike matrix focused on delivering AI / ML algorithms that power customer experiences and data products.

You will work in close collaboration with data scientists on the Consumer Data Science (CDS) teams. This may involve any combination of the following CDS teams: Product Design & Merchandising (Footwear & Apparel), Nike Direct (Core Commerce, Direct to Consumer, Nike Run Club & Nike Training Club), and Marketing and Brand (Targeted Marketing and Content).

You’ll also partner closely with Digital Product Experience, Nike core business units, and engineering partners such as data engineering, pipeline development, etc. You will report directly to the Director, Data Science product.


  • Min 3 years' experience building data science products powered by artificial intelligence in a large organization (experience with a consumer products organization is an asset). Specific activities include: Formulating product strategy, evaluating and prioritizing ideas, creating business cases, defining product features, overseeing development, and orchestrating product launch / releases
  • Ability to conduct customer interviews (internal and external), identify pain-points and if/how artificial intelligence can solve the problem
  • Knowledge of consumer products industry including industry participants, channels (eCommerce, brick & mortar, and wholesale channels), customers and market segments, and innovations
  • Experience using mathematical modeling and machine learning to solve business problems
  • Familiarity with traditional PM methodologies (e.g., Agile, Kanban, Waterfall, etc.) and knowledge of when to apply methodologies
  • Experience with defining and measuring what success looks like (by leveraging OKRs, KPIs, etc.)
  • Deep understanding of statistical hypothesis testing and A/B methods
  • Experience with leading cross-functional product squads and influence without authority

Company Info.

Nike, Inc.

Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services. The company is headquartered near Beaverton, Oregon, in the Portland metropolitan area. It is the world's largest supplier of athletic shoes and apparel and a major manufacturer of sports equipment.

  • Industry
    Textile,Footwear,Sportswear,Sports equipment
  • No. of Employees
  • Location
    Beaverton, Oregon, USA
  • Website
  • Jobs Posted

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