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We are currently seeking an experienced professional to join our team in the role of Associate Director, Technology Management.

Business: Emerging Technology

Principal responsibilities

1. Business Integration:

• Collaborate with business units to identify and shape AI/ML-enabled opportunities that enhance operational efficiency and innovation.
• Support the implementation of AI-driven process improvements within key business areas.

2. Technology Translation:

• Work with stakeholders to translate business challenges into viable AI/ML use cases.
• Ensure solutions are practical, scalable, and aligned with current technological advancements.

3. Solution Development & Testing:

• Partner with data scientists, engineers, and product owners to develop, test, and validate AI/ML models and applications.
• Evaluate internal processes and data to identify areas where AI can deliver measurable improvements.

4. Governance & Risk Management:

• Assist in the prioritisation and submission of AI models and solutions through internal governance processes.
• Ensure solutions adhere to ethical, regulatory, and operational risk standards.

5. Scalable Delivery:

• Contribute to the design of safe, sustainable, and scalable deployment of AI/ML capabilities within production environments.
• Focus on control frameworks and long-term maintenance.

6. Stakeholder Engagement:

• Engage with stakeholders across technology, risk, compliance, operations, and business lines to build understanding and secure necessary approvals.
• Support and report on the implementation of AI initiatives.

7. Thought Leadership:

• Stay informed on AI/ML trends, regulatory developments, and best practices in AI deployment within financial services.
• Share insights and knowledge to foster a culture of continuous learning and innovation.

Requirements:

• Experience and Knowledge: o Several years of experience in AI/ML solution delivery or product development, preferably within regulated industries.
• Experience in financial services, consulting, or technology with a focus on innovation or transformation. o Solid understanding of financial services processes and operational challenges.

Technical Understanding:

• Good knowledge of the AI/ML ecosystem, including advancements in foundation models, generative AI, NLP, and traditional ML.
• Familiarity with the model development lifecycle, MLOps, data governance, and responsible AI principles.

Business Acumen:

• Ability to identify impactful use cases and align AI solutions with business strategy and KPIs.

Governance & Risk Awareness:

• Experience navigating model governance, risk, and compliance processes in a banking context.

Soft Skills:

• Strong communication, stakeholder management, and influencing skills.
• Adaptable, pragmatic, and delivery-focused mindset.