NIKE, Inc. 팀에 함께하세요

NIKE, Inc.는 세계 최고의 운동선수들의 복장을 책임지는 것 그 이상의 역할을 합니다. 나이키는 자신의 잠재력을 탐색하고 경계를 없애며 가능성의 영역을 확장할 수 있는 곳입니다. 나이키는 성장하고, 생각하고, 꿈꾸고, 창조할 수 있는 인재를 찾습니다. 나이키의 문화는 다양성을 포용하고 상상력을 장려하며 더욱 발전해갑니다. 우리 브랜드는 성취자, 리더, 선구자를 찾고 있습니다. NIKE, Inc.에서는 모두가 기술과 열정으로 무장하고 끊임없이 변화하는 치열한 게임에 뛰어듭니다.

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $126,700.00 in our lowest geographic market to $258,400.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

Lead, Data Foundations Solutions Management

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

 

At Nike’s Global Places & Services (GPS) organization, we design and bring to life physical environments and experiences for Nike and the athlete* in more than 100 cities around the world. We work every day to make location a competitive advantage by delivering against our key capabilities: location, physical environments, events, sport, nutrition and mobility.

 

WHO WE ARE LOOKING FOR

We’re looking for a strategic, technically fluent Solutions Manager to lead the development of data and analytical data sets/products that drive business impact for GPS and the Nike enterprise.  This role will serve as a critical link between data engineering and business stakeholders – translating business needs into technical requirements and ensuring delivery of high-value, scalable data and analytics products.

The candidate needs to have strong communication and stakeholder management skills with a background in data and analytics product management. Candidates should have a solid understanding of data pipelines, data warehousing, and business intelligence front-end applications like Tableau. Candidates should have a basic understanding of AI/ML and should be comfortable navigating technical and business domains as it relates to translating business requirements into actionable insights with data.  Candidate will have a proficiency in SQL and a strong grasp of data modeling and architecture, along with experience working in an agile environment.  Candidates should also be able to learn, potentially clarify/define, capability processes in order to drive data solution needs.

 

WHAT YOU WILL WORK ON

This role will work with GPS teams on a daily basis, often interacting/collaborating with business partner functions who require GPS data and reporting. This role will be leading the design, development, and maintenance of a global analytics infrastructure that supports data science, analytics and reporting needs for GPS and the Nike enterprise (for GPS data). This role will be responsible for overseeing the translation of business needs into functional code for analysis, reporting solutions as well as operational tools.  In addition, this role will connect with our Nike Tech partners regarding models, architecture and best practices for data solutions

 

WHO YOU WILL WORK WITH

Reporting to the Sr. Manager of GPS Data Foundations, this role is a member of the GPS Intelligence team within GPS Global Operations.  The role's primary stakeholders will sit in the core functions of GPS, but will also work with teams such as Nike Technology, Resilience, HR and Legal to create and maintain data solutions. GPS data products have enterprise reach, requiring engagement with many Nike functions at times 

 

 

WHAT YOU BRING

Required

 Bachelor’s degree in Computer Science, Engineering, or a related field and 8 plus years directly relevant work experience or equivalent combination of education, experience or training.

 Experience in product management for data and analytics products

 Strong communication skills and the ability to translate business needs into technical requirements

 Data architecture and data modeling

 Relational database design (normalization/denormalization, conceptual modeling, physical modeling) 

 Comfort with agile, scrum, or hybrid development environments

 Explain technical concepts in simplified ‘business’ language 

 Proficiency in SQL for data exploration and validation

 Familiarity with business intelligence tools (e.g. Tableau)

 Front-end application/data visualization development experience

 Designing and implementing data quality tests 

 

 Nice-to-haves 

 Security/role-based access control design 

 CI/CD experience (ideally Jenkins)

 Understanding of master data management

 Familiarity with AI/ML

 Understanding of data engineering, APIs, and integration patterns

 Test-driven development 

 Understanding of master data management 

 Formal analytics, data visualization, or computer science background preferred

 

 

 

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.

기대할 수 있는 사항

채용 계획

01 지원

나이키 팀은 다양한 기술과 지식, 의견, 아이디어, 배경을 가진 사람들로 구성되어 있습니다. 직무 소개서와 부서, 팀을 살펴보며 내게 맞는 역할을 찾아보세요. 적합한 직무를 찾을 수 있기를 바랍니다.

02 채용 담당자와의 만남 또는 평가 진행

본사 직무에 선발되면 면접 과정을 시작하고자 채용 담당자가 연락을 드립니다. 해당 과정을 진행하는 동안 이 담당자와 주로 연락하게 됩니다. 리테일 직무의 경우 채팅과 퀴즈 등 양방향 평가가 진행되며, 완료하는 데는 약 10~20분이 소요됩니다. 어떤 직무에 지원하시든, 나이키는 여러분에 관한 모든 정보를 듣고 싶습니다. 그러니 여러분이 어떻게 세계 최고 수준의 서비스를 제공할 것인지, 여러분만의 특별함은 무엇인지 주저하지 말고 보여주시길 바랍니다.

03 면접

이 단계를 자신 있게 시작하기 위해 필요한 정보를 조사하고 나이키가 추구하는 요소를 파악해 보세요. 또 여러분과 여러분의 배경에 관해 자세히 알기 위해 고안된 질문에 답할 준비를 갖추세요.

야외 환경에서 웃고 포옹하는 두 사람