SATS · SATS
Head, AI Center of Excellence
Role summary
At SATS, this Head, AI Center of Excellence role focuses on this role defines and executes the organization’s AI platform strategy, enabling scalable, production-grade AI/ML systems that drive business transformation across operations, logistics, and customer solutions and this position will report directly to the SVP, Data & AI and play a critical role in shaping the enterprise AI foundation. The employer notes leadership and Professional and experience Bachelor of Science / Master of Science / Doctor of Science, specialised in Computer Science, Data Science or related disciplines.
Summary based on employer-provided role details.
Role highlights
Responsibilities
- This role defines and executes the organization’s AI platform strategy, enabling scalable, production-grade AI/ML systems that drive business transformation across operations, logistics, and customer solutions.
- This position will report directly to the SVP, Data & AI and play a critical role in shaping the enterprise AI foundation.
- Key Responsibilities AI Strategy & CoE Leadership Build and lead the AI CoE, establishing enterprise-wide AI vision, strategy, and execution roadmap with SVP of Data and AI.
- Serve as the principal authority on AI/ML platforms, advanced analytics, and intelligent systems Define and execute multi-year AI and data platform strategy aligned to business objectives
- Work very closely with SVP, Data & AI to shape long-term AI innovation and adoption strategy
Requirements
- Leadership and Professional
- Experience Bachelor of Science / Master of Science / Doctor of Science, specialised in Computer Science, Data Science or related disciplines.
- Minimum 12 to 15 years of experience in data engineering, AI platforms, or distributed systems. Familiar and with proven experience in building and scaling AI platforms and data infrastructure.
- Experience in steering thought leadership in global aspects, across cross-functional teams. AI / ML and Engineering Expertise
- Minimum 10 years of experience in building production-grade ML systems at scale.
Role Quick Info
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