EMEA Director Advanced Analytics (AI/ML) / Hilversum

Organisatie: Nike
Locatie: Hilversum
Functie: EMEA Director Advanced Analytics (AI/ML)
Vervaldatum: 29/06/2021
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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 Enterprise Data and Analytics organization, is looking for a seasoned Artificial Intelligence leader, who can lead and grow teams of machine learning engineers, data scientists, data engineers and software architects, to deliver scalable machine learning and artificial intelligence solutions to customers across our business enterprise.


  • You will work on a variety of complex business problems such as forecasting, pricing, inventory and supply chain optimization.
  • You will lead teams, test new and interesting hypotheses, productionalize and scale solutions in the cloud as APIs, stream processing, or massive batch processing.
  • You will leverage big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products.
  • Develop the software architecture and platform strategy for advanced analytics, machine learning, and deep learning.
  • Recruit, hire, and mentor exceptional machine learning engineers and MLOps engineers.
  • Support investigation of new software packages/vendors, APIs, and algorithms to deliver quality analytics and machine learning at scale.
  • Ensure rigorous engineering processes across the full application lifecycle.
  • Apply machine learning, collaborative filtering, natural language processing, and deep learning methods to massive data sets.
  • Help drive optimization, testing, and tooling to improve data quality; Iterate quickly on product quality through continuous A/B testing. Above all, your work will accelerate Nike’s core mission of serving Athletes*.

    As part of the ED&A leadership team, you will work with strong leaders in Enterprise Data management, Architecture, Software Engineering, Product and Portfolio Management, in defining strategy.

  • Define, manage and foster a working model and strong relationships with the Business, Functional Analytics teams and the Insights and Analytics teams.
  • Lead a team of machine learning and MLOps engineers.
  • Work with Product Management, Software Engineering, Platform Development, Architecture, Operations, and other internal stakeholders to define requirements, guide product and architectural vision, and prioritize efforts. Help translate customer requirements into stories to support Agile development and accurate product roadmaps.
  • Collaborate with functional Agile teams of software engineers, data engineers, product analysts, and others to build new product features.
  • You will foster partnerships with open source communities, commercial vendors, and universities.

  • Thought leadership.
  • Strong at communicating complex problems and building relationships with other teams.
  • Problem solver who can focus on delivering high business value with a cross functional team.
  • Engineering leader who can recruit top talent and build teams that deliver results.
  • Rock solid engineer and data scientist with demonstrated experience in in Machine Learning, Artificial Intelligence or distributed systems development.
  • Strong background in Machine Learning or a related field. Significant expertise in machine learning algorithms, time series, forecasting, understanding natural language or unstructured data. Deep learning experience is a plus.
  • You have experience implementing machine learning systems at scale in Python, Java, Scala, or similar (not just R, Octave, or Matlab).
  • You have a strong mathematical background in statistics and machine learning.
  • You care about agile software processes, data-driven development, reliability, and responsible experimentation.
  • You preferably have experience with data processing and storage frameworks like Hadoop, S3, Snowflake, Spark, Flink, Cassandra, Dynamo, Kafka, etc.
  • You’ll have experience with at least one these Machine Learning frameworks, Tensorflow, Caffe, PyTorch.
  • You preferably have Machine Learning publications, project code, or work on open source to share with us.
  • #LI-EMEA

    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.


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