NIKE, Inc.チームの 一員になる

NIKE, Inc.の仕事は、世界トップクラスのアスリートたちにウェアやシューズを提供することだけではありません。ここは自分の潜在力を探求し、限界を取り払って、可能性を大きく広げることができる職場です。Nikeが求めているのは、意欲を持って成長し、自分の頭で考え、夢を思い描き、新しく創造できる人材。多様性を武器に創意工夫を奨励することで、企業文化を発展させています。Nikeブランドは、成功に向かって努力を続ける人や、チームを率いるリーダーや、大きな目標を思い描ける人材を求めています。常に進化し続ける仕事にはやりがいがあり、NIKE, Inc.では従業員一人ひとりが各々のスキルと情熱を日々の業務に注いでいます。

Director, Software Engineering
Beaverton, OR


WHO YOU’LL WORK WITH


You’ll lead a globally distributed engineering team within Nike’s Data,
Analytics & Intelligence (DAI) organization. You’ll partner with
Technical Product Managers, Principal Engineers, and cross-functional
stakeholders across business and technology to deliver scalable,
reusable data capabilities that empower teams across Nike to build
insights and analytics in a governed, consistent, and efficient manner.


WHO WE ARE LOOKING FOR


We’re looking for an experienced, inclusive, and hands-on engineering
leader to drive Nike’s data enablement strategy. This role is ideal for
someone who thrives at the intersection of data architecture, platform
engineering, and product thinking. You’ll lead the development of
frameworks and services that standardize how Nike defines, stores,
and publishes business metrics, integrates GenAI capabilities into
analytics workflows, and enables federated data ownership through a
data mesh approach.


You’ll also play a key role in shaping Nike’s broader data strategy—
ensuring that the capabilities your team builds are secure, scalable,
and aligned with industry best practices and enterprise standards.


Key Qualifications

  • Minimum Bachelor's Degree in Computer Science, Engineering, or a related field plus 10+ years of software engineering experience, with 5+ years in leadership roles or equivalent combination of education, experience or training.

  • Proven experience building data-centric frameworks, APIs, and services at scale.

  • Deep expertise in software engineering fundamentals, with a strong command of distributed systems and cloud-native architecture patterns.

  • Experience with modern data platforms and related tooling like Databricks, Snowflake, EMR, Airflow, Kafka, Spark.

  • Experience with CICD and DevOps tools like Jenkins, Terraform, Docker and Kubernetes.

  • Knowledge of AI/ML, GenAI, and AI-powered automation.

  • Demonstrates exceptional communication and collaboration skills, with a proven ability to lead through influence and to navigate complex problem spaces.

  • Adept at evaluating and articulating the strategic and financial impact of new capabilities, features, and investments.

  • Operates with a pragmatic, delivery-focused mindset - prioritizing customer value and continuous improvement through resilient, scalable systems.

  • Leads with empathy and intention, fostering a culture of trust, empowerment, and growth in alignment with Nike’s Maxims.


WHAT YOU’LL WORK ON


You’ll lead the design and delivery of data capabilities that power
Nike’s analytics and intelligence ecosystem. You’ll:

  • Build and scale key components of Nike’s enterprise data mesh and marketplace to support federated data ownership through centralized capabilities and governance.

  • Develop services for consistency in business KPI/metric definition, lineage, and publication and usage.

  • Enable GenAI-powered analytics by embedding LLM capabilities intoBI and reporting workflows.

  • Partner with Product leaders to engage a global community of internal users to understand their data needs and deliver solutions that are intuitive, impactful, and governed.

  • Partner with Principal Engineers to develop tools and frameworks forimproving security, reliability, scalability, and self-service capabilities within Nike’s data ecosystem.

  • Partner across teams to ensure continuous alignment, smooth integration, and solution consistency.

  • Help define and enforce engineering standards for data-centric software development across the organization.

  • Mentor team engineers and foster a culture of innovation, trust, andtechnical excellence.

  • Stay ahead of emerging technologies and trends to continuously evolve Nike’s data strategy and delivery practices.

  • Communicate effectively with stakeholders at all levels of the organization.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

今後の予定

私たちの採用プロセス

01 応募

私たちのチームは、多様なスキルセット、知識、意見、アイデア、バックグラウンドを持つメンバーで構成されています。 職務内容、部門、チームを確認して、自分に合った役割を見つけましょう。

02 採用担当者に会う、または評価を受ける

コーポレートの職務を選んだ場合、面接プロセスを開始するために採用担当者が連絡を取り、面接が終了するまでの間、あなたの主な窓口となります。 リテール職の場合は、チャットとクイズを含む対話型の評価を行うことになります。所要時間は約10~20分です。 職務に関わらず、私たちは皆さんの人となりを知りたいと思っています。世界トップクラスのサービスに対する考え方や、あなたの独自性について遠慮なく話してください。

03 面接

Nikeについて調べ、Nikeが何を求めているのかを理解し、あなたの人となりや経歴について詳しく知るために設定された質問に答えられるよう準備し、自信を持ってこのステージに臨んでください。

屋外で笑顔で抱き合う 2 人