Nike
Director, Software Engineering
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. 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 strategyensuring 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. 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 into BI 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 for improving 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, and technical 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.
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. 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 strategyensuring 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. 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 into BI 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 for improving 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, and technical 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.