AI Strategy & Transformation Leader

NCS Pte Ltd; Hong Kong; On-site; HKD 200,000 - 270,000; Full time

Job summary

NCS Pte Ltd seeks an AI MissionLeader to translate complex domain problems into measurable AI outcomes and to set mission direction across cross-functional teams. This senior executive will drive high-impact AI initiatives in medicine and GenAI transformation, ensuring rigorous problem framing, execution excellence, and responsible deployment.

The role requires executive leadership, strategic prioritization across domains, and the ability to manage risk while delivering production AI systems in

Qualifications

• Executive leader capable of delivering complex AI programs with measurable outcomes.
• Ability to translate domain challenges into AI strategies, metrics, and delivery plans.
• Strong fluency in applied AI/ML and GenAI concepts, data pipelines, and deployment considerations.
• Proven experience leading cross-functional teams and influencing senior stakeholders.

Responsibilities

• Define AI mission objectives, success metrics, and delivery roadmaps.
• Lead cross-functional teams to deliver production AI systems with governance and accountability.
• Establish governance, cadence, and decision-making frameworks for programs.
• Drive responsible AI practices including privacy, security, and regulatory considerations.
• Foster adoption, change management, and stakeholder communications.

Skills

Executive leadership

Problem framing

Systems thinking

GenAI concepts

Stakeholder management

Delivery leadership

Safety and ethics

Job description

NCS Pte Ltd seeks an AI MissionLeader to translate complex domain problems into measurable AI outcomes and to set mission direction across cross-functional teams. This senior executive will drive high-impact AI initiatives in medicine and GenAI transformation, ensuring rigorous problem framing, execution excellence, and responsible deployment.

The role requires executive leadership, strategic prioritization across domains, and the ability to manage risk while delivering production AI systems in