AI Transformation Director (Regulated Industry)

Argyll Scott; Singapore; On-site; SGD 250,000 - 400,000; Full time

Job summary

Argyll Scott seeks an AI Transformation Director to lead the organization’s enterprise AI agenda in a regulated setting. The role focuses on shaping AI strategy, governance and high-value use cases while accelerating responsible AI adoption across the business.

The ideal candidate has extensive experience delivering AI initiatives from concept to production within regulated industries, with strong governance and risk management capabilities.

Qualifications

• 10+ years of technology experience with enterprise AI delivery.
• GxP system validation experience.
• Experience in highly regulated industries and governance expertise.
• Strong balance of technical credibility and business transformation.
• Proven track record taking AI solutions from concept to production.

Responsibilities

• Define and execute the enterprise AI strategy, roadmap and use-case portfolio.
• Establish practical AI governance, risk and operating frameworks for regulated environments.
• Identify and prioritise AI opportunities based on measurable value and lead initiatives end-to-end.
• Provide technical oversight across GenAI/LLMs, RAG, APIs/integration and monitoring.
• Ensure controls around data security, information security, privacy and human oversight.

Skills

AI governance

Regulated environments

Enterprise AI delivery

GxP validation

GenAI / LLMs / RAG

APIs & integration

Data security & privacy

Risk management

Leadership & transformation

Stakeholder collaboration

Job description

AI Transformation Director (Regulated Industry)

We are partnering with a global organisation to appoint a AI Transformation Director to lead its enterprise AI agenda. This is a hands-on transformation leadership role focused on defining AI strategy, establishing governance, identifying and delivering high-value use cases, and accelerating responsible AI adoption across the business.

We are looking for an experienced AI practitioner who has successfully taken enterprise AI initiatives from concept through to production, particularly within highly regulated environments.

Key Responsibilities

• Define and execute the enterprise AI strategy, roadmap and use-case portfolio.


• Establish practical AI governance, risk and operating frameworks, particularly for regulated environments.


• Identify and prioritise AI opportunities based on measurable business value and lead initiatives from discovery through implementation and adoption.


• Provide technical oversight across GenAI/LLMs, RAG, agentic AI, APIs/integration, model evaluation and monitoring.


• Ensure appropriate controls around data security, information security, privacy, data integrity and human oversight.


• Partner with business, technology, security, data, quality and regulatory stakeholders to move AI safely into production.

What We're Looking For

• 10+ years of technology experience, with significant experience delivering enterprise AI, GenAI or AI-enabled transformation.


• GxP system validation experience


• Strong combination of AI technical credibility and business transformation experience


• Proven experience taking AI solutions from business use case through to production deployment.


• Experience within a highly regulated industry is critical


• Strong understanding of AI governance, data protection, information security and enterprise risk.


• Experience with modern AI architectures including LLMs, RAG, agentic AI, MLOps, APIs and enterprise integration.