Director, Artificial Intelligence responsible for driving the strategic development, deployment[...]

S.i. Systems; London; Remote; GBP 120,000 - 150,000; Full time

Job summary

A leading technology services company is seeking a Director of Artificial Intelligence to drive the strategic development and scaling of AI capabilities. The ideal candidate will have 10+ years in data science or AI roles, with significant leadership experience. Responsibilities include implementing AI vision and leading a high-performing AI Centre of Excellence. This position is remote but requires some travel. Competitive compensation is provided.

Qualifications

• 10+ years in data science, machine learning, and/or AI roles.
• At least 5 years in a leadership capacity.
• Experience building and leading AI teams in complex environments.

Responsibilities

• Define and implement AI vision, roadmap, and priorities.
• Act as a strategic advisor on emerging AI trends and risks.
• Build and lead a high-performing cross-functional AI Centre of Excellence.

Skills

Data science

Machine learning

Leadership

Change management

Communication

AI technologies

Education

Advanced degree in a quantitative discipline

Job description

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Director, Artificial Intelligence responsible for driving the strategic development, deployment, and scaling of AI capabilities across the organization and building Centre of Excellence ground up., London

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Client:

S.i. Systems

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

8a18028051fd

Job Views:

15

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Our Financial services client is seeking a Director, Artificial Intelligence responsible for driving the strategic development, deployment, and scaling of AI capabilities across the organization and building Centre of Excellence ground up.

Permanent role, Remote (PST hours) - Candidate must be based in ON, AB and/or BC - must be open to some travel

Overview:

You are a senior leader with deep expertise in machine learning, data science, and enterprise AI platforms, as well as a strong ability to translate complex technologies into practical business applications. You will lead cross-functional teams and influence senior stakeholders to ensure AI solutions are ethical, scalable, and aligned with organizational priorities.

Must Have:

• 10+ years in data science, machine learning, and/or AI roles, with at least 5 years in a leadership capacity.
• Experience building and leading AI teams or CoEs in complex, regulated environments.
• Deep knowledge of AI technologies, frameworks, ML/AI model developments and ML/AI risk management best practices, relevant global laws, regulations, and ethical and risk management standards.
• Advanced degree in a quantitative discipline (e.g., Data Science, Computer Science, Engineering, Math); an MBA or executive education is a strong asset.
• Proven ability to deliver AI-enabled business value through collaboration and innovation.
• Exceptional leadership, communication, and change management skills.

Responsibilities

• Working closely and cooperatively with our Innovation and Strategy teams, and Data and Governance teams, define and implement AI vision, roadmap, and priorities across the enterprise.
• Act as a strategic advisor on emerging AI trends, risks, and opportunities.
• Champion responsible AI practices and governance to ensure fairness, transparency, and accountability.
• Monitor emerging legal, regulatory and industry standards in AI and provides strategic guidance to the organization.
• Centre of Excellence Enablement
• Build and lead a high-performing cross-functional AI CoE, creating a hub of expertise, experimentation, and best practices.
• Establish scalable processes and platforms to develop, deploy, and monitor AI/ML models.
• Design and implement effective AI risk controls, metrics, compliance, and perform risk management activities, including data risk oversight and documentation.
• Develop and manage an AI compliance program to ensure ethical AI practices.
• Define and implement standards, tools, and frameworks for safe and effective AI use.
• Partner with teams to align on priorities and delivery strategies, and identify impactful AI use cases.
• Support research, development, and deployment of AI technologies, staying current with emerging trends.
• Oversee AI project portfolio to ensure delivery excellence and strategic alignment.