成為 NIKE, Inc. 團隊的一員
NIKE, Inc. 不僅為世界傑出運動員提供裝備， 這是一個探索潛能、消弭疆界及超越可能的園地。 公司尋找能夠成長、思考、懷抱夢想與創造的人才， 透過擁抱多元和獎勵想像力，讓文化欣欣向榮。 品牌尋找成就者、管理者以及具有遠見的夢想家。 在 NIKE, Inc.，我們就是要讓每個人都能在面對挑戰性十足且不斷演變進化的賽局中，揮灑熱情並一展所長。
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.
招募策略
01 申請
我們的團隊由多元技能、知識庫、意見、想法和背景組成。 我們希望你找到合適的職位：查看職務說明、部門和團隊，探索適合你的角色。
02 與招募人員會面或進行評估
若獲選擔任公司職務，招募人員會與你聯絡，以展開面試流程，並在整個流程中擔任你的主要聯絡人。 若為 Retail 職務，你將完成包含對談和測驗的互動式評估，完成評估約需 10 至 20 分鐘的時間。 無論是哪個角色，我們都想瞭解你的各種面向，因此請不要避談你如何提供世界級的服務，以及你的與眾不同之處。
03 面試
在進入這個階段時，可先做好研究，瞭解我們在尋找的人才，並為深入瞭解你及相關背景而設定的問題做好準備，自信應對。
