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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.
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.
Qualifications - External
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.