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Strong global brand, remote role, and metro context create high applicant competition.
Deep supply-chain planning and specific SAAS platform experience make cross-industry transferability low, so sensitivity is high.
Explicit 12–15 years, mandatory management and specific cloud/SAAS domain skills make shortlisting highly strict.
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Lead and develop multiple engineering teams focused on Supply Chain and Planning Technology (SCPT) platforms including SaaS and cloud-based systems like AWS, Databricks, and O9.
Set technical direction and drive architectural decisions for large-scale, distributed software solutions within merchandise financial and demand planning domains.
Collaborate with global stakeholders to align enterprise technical strategies, foster an inclusive team culture, and implement AI-first practices to enhance productivity.
12 to 15 years of professional experience with at least 5 years in software engineering management.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field, or equivalent experience.
Experience leading full-stack DevOps teams and expertise in scalable, distributed cloud services using AWS, Databricks, and planning SaaS products (O9, Blue Yonder, Kinaxis, SAP IBP).
Proven knowledge of supply chain domains including Merchandise Financial Planning and Demand Planning; familiarity with modern development technologies (Java, REST, Python), databases (NoSQL and relational), and agile methodologies.
Experienced leader with a strong technical foundation and a track record in delivering enterprise-scale solutions in fast-paced, global environments.
Effective collaborator capable of aligning cross-functional teams and stakeholders across global locations with strong communication skills.
Strategic thinker who embraces AI/ML technologies and modern engineering practices to drive innovation and organizational growth within supply chain technology domains.