AI Enterprise Architect

We are seeking an AI Enterprise Architect to define, direct, and govern the bank's target data architecture in support of business strategy.

The successful candidate will have experience with AI/ML Architecture, Enterprise Architecture & Governance, and Stakeholder Leadership.

Responsibilities:

• Develop the bank's data architecture strategy and translate bank-wide goals into target data architecture and transition plans.
• Collaborate with stakeholders to provide subject matter expertise and share knowledge to promote standardised, consistent, safe, and value-driven data usage.
• Develop and maintain the bank's data architecture governance, standards, and protection policies.
• Manage the alignment of projects to the target data architecture.
• Define shared reusable data capabilities, assets, tools, and technologies.
• Monitor applicable regulatory standards and industry developments.
• Identify and select best-in-class data technologies.

Requirements:

• Experience with AI/ML Architecture, Enterprise Architecture & Governance, and Stakeholder Leadership.
• Knowledge of AI/ML frameworks, multi-cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design.
• Experience with EA frameworks, AI governance, ethical AI, compliance, and alignment to business and IT strategy.
• Strong communication and leadership skills.

Nice to Have:

• Industry knowledge, particularly in regulated industries such as financial services.
• Experience with data strategy and analytics, emerging technology, generative AI, LLMs, edge AI, quantum computing potential, AI security, and bias mitigation.