Senior Director, Enterprise Data & AI (ED&AI) GC

NIKE, Inc. is looking for a Senior Director, Enterprise Data & AI (ED&AI) GC. Reporting directly to the VP, Technology GC, this senior leadership role will shape and execute the enterprise data, analytics, and AI vision across Greater China.

What You’ll Do

• Define the enterprise data and AI vision, strategy, and multi-year roadmap in alignment with Greater China business priorities and Nike’s global technology strategy.
• Lead and grow a high-performing, integrated organization.
• Partner with global and geography technology teams to deliver scalable technology solutions.
• Drive adoption of data-driven decision-making, automation, and AI-powered ways of working.
• Deliver measurable outcomes in consumer engagement, digital commerce growth, decision-making speed, and operational efficiency.
• Lead the Greater China ED&AI Technology Portfolio.
• Identify and prioritize opportunities for AI/ML and analytics to solve complex, high-impact business problems.
• Oversee delivery of data platforms and AI/ML products from ideation and architecture through launch, iteration, and operations.
• Improve engineering practices in data architecture, MLOps, security, scalability, uptime, and reliability.
• Ensure compliance with data governance, AI ethics, privacy, and regulatory standards.
• Manage cross-functional stakeholders and teams, including product owners, data engineers, ML engineers, and scrum masters.

What You’ll Need to Succeed

Experience and Leadership

• 15+ years in data and analytics engineering, data science, AI/ML, or data product roles.
• Experience building and scaling enterprise data and AI capabilities.
• Significant experience leading multidisciplinary technology teams, including people leaders.
• Success delivering AI/ML-powered products and enterprise-scale data platforms from strategy through production.
• Experience leading AI transformation, including AI-driven operating model transformation with the AI Development Life Cycle.

Technical Expertise

• Experience with big data technologies and platforms such as Hadoop, Spark, and Hive.
• Knowledge of cloud technologies such as AWS EMR, S3, and Lambda, including on-premises-to-cloud migrations.
• Strong understanding of AI/ML technologies, data pipelines, machine learning frameworks, and modern cloud infrastructure.
• Experience with data warehousing, dimensional modeling, ETL, streaming and event processing, and data visualization or BI tools.
• Familiarity with Agile/Scrum and MLOps/DevOps practices.

Leadership and Soft Skills

• Exceptional strategic thinking and problem-solving skills.
• Ability to translate business needs into a data and AI roadmap.
• Excellent communication and stakeholder-influencing skills, including with senior executives.
• Ability to lead in a fast-paced, ambiguous, and rapidly evolving environment.

Preferred Qualifications

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field; MBA is a plus.
• Experience with AI ethics, privacy, and regulatory considerations, particularly in Greater China.
• Knowledge of AI applications in retail, e-commerce, supply chain, or related industries.
• Experience working across global and geography technology organizations in a matrixed environment.

NIKE, Inc. offers a total rewards package, casual work environment, diverse and inclusive culture, and professional development opportunities. Nike is an equal opportunity employer.