Description

Key Skills: Data Engineering, Software Engineering, Team Management, Backend Engineering, Data Platforms, Databricks, Apache Spark, AWS, Leadership, Architecture

Good to Have Skills: Experience with Delta Lake, Unity Catalog, Apache Airflow, Apache Kafka, dbt, GCP, Azure cloud platforms, retail or commerce scale experience, agentic/AI-powered analytics platforms, large migration and decommission experience, data governance, and cross-functional stakeholder management.

Roles & Responsibilities:

• Lead multiple engineering squads within the enterprise team that curates, governs, and serves Nike Direct and Marketplace data products.
• Partner with Product leadership, Architects, BI Experience leadership, Platform leadership, and Data Governance to shape strategy, roadmap, and execution.
• Manage Engineering Managers and/or Senior ICs, grow technical talent, and own the delivery, reliability, and operational health of data products.
• Own the delivery of data products in portfolio including APIs, pipelines, consumption and ontology layers while partnering with Product on roadmap.
• Drive a single source of truth for Nike Direct and Marketplace data in collaboration with BI Experience teams.
• Co-create agentic and AI-powered consumption experiences with BI Experience leadership, ensuring business context and metric consistency are embedded in systems.
• Own production reliability, security, and cost across squads by setting SLAs, leading major incident response, and driving operational maturity.
• Partner with Platform team to adopt recommended toolkits and blueprints, and influence platform roadmap where gaps exist.
• Attract and hire exceptional engineers, build an inclusive and high-trust culture, and grow people across levels from SWE I to Principal.
• Represent the organization in cross-Nike forums, contribute to enterprise data architecture and governance decisions, and translate strategy into clear team commitments.

Experience Required: Minimum of 10+ years of engineering experience, including 5+ years managing software or data engineering teams with managing managers preferred.

Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field — or equivalent experience

Key Skills

Education

Any Graduate