Conviértete en parte del equipo de NIKE, Inc.
NIKE, Inc. hace más que vestir a los mejores atletas del mundo. Es un lugar para explorar el potencial, borrar límites y ampliar los límites de lo que puede ser. La empresa busca personas que puedan crecer, pensar, soñar y crear. Su cultura prospera al abrazar la diversidad y recompensar la imaginación. La marca busca triunfadores, líderes y visionarios. En NIKE, Inc. se trata de que cada persona aporte habilidades y pasión a un juego desafiante y en constante evolución.
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.
NUESTRO PLAN DE CONTRATACIÓN
01 Postúlate
Nuestros equipos están formados por diversos conjuntos de habilidades, bases de conocimientos, contribuciones, ideas y antecedentes. Queremos que encuentres la opción perfecta: revisa las descripciones de los puestos, los departamentos y los equipos para descubrir la función ideal para ti.
02 Habla con un reclutador o haz una evaluación
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03 Entrevista
Entra en esta fase con confianza: investiga, entiende lo que buscamos y prepárate para las preguntas que nos harán saber más sobre ti y tus antecedentes.
