Project Director (AI / Machine Learning)

Roles & Responsibilities

Established Financial Institution is seeking a highly experienced Project Director – AI to lead large-scale Artificial Intelligence initiatives across their banking business. This role is critical in shaping our enterprise AI roadmap, driving responsible innovation, and delivering high-impact transformation programs that improve customer experience, operational efficiency, risk management, and regulatory compliance.

You will oversee multi-year AI program, manage cross-functional delivery teams, and work closely with senior executives to execute our AI strategy in a safe, ethical, and scalable way.

Roles  :

Lead the end-to-end AI programme portfolio across Retail, Business, and Institutional Banking.

• Build and maintain a multi-year AI transformation roadmap.
• Own delivery of major AI projects including generative AI, machine learning, intelligent automation, fraud detection, risk scoring, and customer service applications.
• Establish robust governance frameworks, delivery methodologies, and risk controls.
• Partner with Senior Stakeholders Business Unit leaders to articulate value, manage risk, and secure sponsorship.
• Communicate programme updates through clear dashboards, investment papers, and board-level reporting.
• Manage cross-functional teams :  data scientists, engineers, analysts, change managers, and PMs.
• Oversee internal teams and external vendors, consulting partners, and technology providers.
• Drive capability uplift and promote a strong culture of innovation and delivery excellence.

Requirements  :

10+ years in programme or project leadership roles, including large-scale transformation in financial services.

$10M and multi-year programmes.

Interested candidates please email your latest resume to subagio@tangspac.com

Tell employers what skills you have

Machine Learning

Budgets

Customer Experience

PRINCE2

Artificial Intelligence

Agile

Risk Management

Python

Fraud

Banking

Data Science

Consulting

Articulate

Stakeholder Management

Data Analytics