Director Software Engineering, ITC

This role leads the design, build, and evolution of Nike's modern data platforms and pipelines to support digital transformation across merchandising, apparel and footwear product creation. It delivers scalable, reliable, and secure data foundations that power analytics, intelligence, machine learning, and personalised experiences across merchandising, design, and development. It leads, supports, and develops Data and Software Engineering team members, manages priorities across complex dependencies, and delivers outcomes across organisational boundaries.

• Leading, mentoring, and managing a cross-functional team of data and software engineers responsible for building and operating scalable data platforms, pipelines, and services aligned to multi-year roadmaps
• Define and execute the technical roadmap in collaboration with product managers and other engineering leaders
• Owning the design and implementation of modern architectures, including lakehouse platforms, curated data layers, APIs, and microservices that enable seamless integration and interoperability
• Ensuring all solutions are reliable, performant, secure, and observable through strong engineering standards and operational excellence
• Championing data quality, lineage, governance, and metadata practices that enable trust and self-service consumption
• Partnering with Intelligence and Analytics teams to enable advanced analytics and AI/ML through well-modelled, production-ready datasets
• Managing priorities, dependencies, and technical trade-offs while balancing near-term delivery with long-term sustainability
• Attracting, developing, and retaining top engineering talent while fostering a culture of learning, ownership, and continuous improvement

• 15+ years of experience in Data engineering and Software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms
• 5+ years of experience leading and scaling high-performing technical teams
• Proven success designing and operating modern cloud-based platforms at enterprise scale
• Strong understanding of data pipeline frameworks, metadata management, and data governance controls
• Hands-on knowledge of Backend service technologies (Java, Node.js, Python), along with Microservices architecture experience.
• Hands-on experience with modern cloud technologies (e.g., AWS/Azure, Databricks, Snowflake, Kafka/Kinesis, Apache Spark, Apache Airflow, dbt)
• Experience enabling analytics and AI through robust, well-designed data foundations
• Fluent in modern software architectural principles and patterns (e.g., REST, domain-driven design, microservices, etc.)
• Proven ability to deliver high-impact, scalable services
• Experience working within large organisations or scaled Agile delivery models
• Exceptional communication and stakeholder engagement skills
• Ability to translate complex technical concepts into clear, actionable guidance for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• An inclusive and empowering technology leader with strong architectural instincts, a passion for data as a product, and a proven ability to translate business strategy into resilient data platforms that deliver value at scale.