Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?

WHO WE ARE LOOKING FOR

The Specialist II, Content Operations Enablement, plays a hands‑on role in enabling consistent, scalable content solutions across Digital Operations. This role focuses on operationalizing established content execution models, improving workflows through automation, and strengthening integrations across the post‑purchase experience using AI and technology-driven solutions.

Partnering closely with Marketing and Commerce teams, this role is responsible for building and maintaining the systems, datasets, and processes that support accurate content delivery and operational efficiency. Success in this role requires strong operational judgment, comfort working within complex ecommerce environments, and the ability to analyze and translate data and process insights into practical improvements that enhance execution at scale.

This role operates within defined strategic direction and governance, contributing through execution, optimization, and cross‑functional collaboration.

WHO YOU’LL WORK WITH

You’ll be part of the North America Content Operations team, reporting into a group focused on improving efficiency, strengthening consumer experiences, and reducing friction across the end‑to‑end consumer journey. This team works collaboratively to identify opportunities, translates insights into action, and delivers solutions that enhance the experience for Nike consumers.

In this role, you’ll partner closely with Digital Operations, Commerce, and Marketing teams. You’ll work cross‑functionally to connect data across marketplace, owned platforms, and post‑purchase experiences—translating requirements into practical data solutions and supporting adoption of standardized processes and tools.

Day‑to‑day, you’ll collaborate with teams who rely on accurate, timely data to inform decisions and improve execution, ultimately driving incremental demand. Together, you’ll help ensure that insights, systems, and workflows are aligned to deliver a more consistent, efficient, and consumer‑centric journey across Nike’s digital ecosystem.

WHAT YOU’LL WORK ON

·  Build, maintain, and enhance operational data products (dashboards, views, and reporting) that track content, experience, and performance signals across digital commerce experiences in North America.

·  Operationalize data connections across systems by integrating content, and order‑related datasets to support day‑to‑day decision making.

·  Own the accuracy, reliability, and ongoing improvement of assigned datasets and dashboards, ensuring data is current, well‑structured, and usable by cross‑functional partners.

·  Support standardized content execution across the consumer journey, connecting marketplace data, owned platform experiences, and post‑purchase touchpoints to improve visibility, accuracy, and consistency.

·  Analyze trends and performance signals across the consumer lifecycle to generate actionable insights that support team objectives, reduce consumer friction, and enable incremental demand.

·  Develop and maintain automated workflows, alerts, and reports that proactively surface issues, opportunities, and exceptions related to content accuracy, experience performance, and operational health.

·  Approach open‑ended operational problems with curiosity and rigor, working through ambiguity by leveraging available Nike datasets to identify root causes and implement practical, scalable improvements.

·  Contribute to continuous improvement efforts by identifying opportunities to streamline workflows, reduce manual effort, and improve operational efficiency through technology, AI, systems thinking and automation.