Werde Teil des Teams von NIKE, Inc. Team
NIKE, Inc. stattet nicht nur die besten Athleten der Welt aus. Wir erkunden neue Möglichkeiten, finden Wege und überwinden die Grenzen des Machbaren. Unser Unternehmen sucht nach Menschen, die wachsen, denken, träumen und gestalten möchten. Unsere Unternehmenskultur schätzt Vielfalt und belohnt Einfallsreichtum. Unsere Marke sucht Menschen, die ihre Ziele erreichen, Führungsfähigkeiten haben und den Blick in die Zukunft richten. Bei NIKE, Inc. bringen alle Mitarbeiterinnen und Mitarbeiter ihre Fähigkeiten ein und nehmen immer neue Herausforderungen mit Leidenschaft an.
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.
UNSER REKRUTIERUNGSPLAN
01 Bewerben
Unsere Teams leben von einer Vielfalt an Kompetenzen, Fähigkeiten, Denkweisen, Ideen und Erfahrungen. Wir möchten, dass du die für dich richtige Stelle findest. Sieh dir Stellenbeschreibungen, Abteilungen und Teams an und finde heraus, welche Rolle zu dir passt.
02 Recruiter:in treffen oder an Beurteilung teilnehmen
Wenn du für eine Stelle im Unternehmen ausgewählt wirst, setzt sich ein:e Recruiter:in mit dir in Verbindung, um das Vorstellungsgespräch einzuleiten und dir während des gesamten Prozesses als Hauptansprechpartner:in zur Seite zu stehen. Bei Stellen im Retail-Bereich nimmst du an einer interaktiven Beurteilung teil, die ein Gespräch und Quizfragen umfasst und etwa 10 bis 20 Minuten dauert. Egal, welche Rolle du anstrebst, wir möchten dich als ganze Person kennenlernen. Zögere also nicht, uns zu zeigen, was erstklassiger Service für dich bedeutet und was dich einzigartig macht.
03 Vorstellungsgespräch
Bereite dich gut auf diese Phase vor, indem du recherchierst, dich über unsere Anforderungen informierst und dich auf Fragen zu deiner Person und deinen Erfahrungen einstellst.
