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scaling enterprise applications globally,thorough technicalpartnerships. Keyresponsibilities include implementing change through modern demand planning and pricing applications thatand efficient.
WHAT YOU WILL WORK ON
Building a globally distributed high performing team and culture aligned with Nike and GT principles
Lead engineering strategy and execution for our critical global supply chain applicationsincluding DemandSensing (long-term & short-term), Price Management and Allocation systems globally.
Build and deliver technology strategy aligned with the goals of DSM and Supply Chain organizations
Mentor and coach engineers in best practices for cloud architecture, security, and performance.
Continuous improvement of technology stack to maximize innovation, automation and consistently minimize technology debt and operational costs
reliableand costoptimaloperations of all technology capabilities within the domain meeting or exceeding defined SLAs
Managing the technology budget covering programs,productsand operations in themagnitudeof $30M+
Ensuring demand planning strategy is integrated across the other domains of Global Technology
Active member of Leadership team and contribute to continuous improvement of GT culture and performance
Build a world-class engineering culture that ensures planning and supply chain is a source of competitive advantage for Nike through the superior use of modern technologies including Gen AI/ML and robotics
Develop technical roadmaps for planning applications, aligning with the strategic goals.
Advise senior management and stakeholders on advanced/emerging technologies and their applications in software engineering, including data and AI/ML.
Establish best-practice software engineering methodologies for a global, 24x7, high-volume, high-availability, highly analytical, and critical production environment, based on metrics-based KPIs.
WHO YOU WILL WORK WITH
and Analytics across all geographies globally
WHAT YOU BRING
Bachelor's degree in computer science, software engineering, or related field or equivalent combination of education and experience.Master's or Ph.D. preferred
Experienced leader of leaders, with 10 years of experience leadingglobal
Documented success in delivering enterprise applications at scale
in building and leading high-performance engineering teams dispersed globally (USA, India, and Europe)
Experience in driving transformation and strategic decisions
in data, machine learning, and AI technologies
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