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Lead, Data Foundations Solutions Management

Nike

Nike

Beaverton, OR, USA
USD 126,700-258,400 / year
Posted on Aug 29, 2025

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.