Director of AI Strategy
Company Description
Eton Wealth Management House is a boutique advisory firm grounded in integrity, trust, and a long-term approach to client relationships. Headquartered in the Dubai Free Zone, the firm connects clients to global financial opportunities through tailored wealth management strategies. Eton Wealth Management House focuses on personalized advisory services that align with the ambitions and risk profiles of a diverse client base. Professionals joining the firm can expect a collaborative, growth-oriented environment that values innovation, disciplined decision-making, and client-centric thinking. Role Description The Director of AI Strategy is a full-time remote role responsible for defining and leading the firm’s AI vision and roadmap across wealth management and advisory services. This role involves identifying high-impact AI use cases, designing data-driven solutions, and overseeing the implementation of machine learning and analytics initiatives that enhance decision-making, client experience, and operational efficiency. The Director will collaborate closely with senior leadership, investment teams, and technology partners to integrate AI capabilities into core business processes and products. Daily responsibilities include translating business objectives into AI strategies, guiding data governance and model risk management, mentoring technical teams, and monitoring performance metrics to ensure ethical and effective AI deployment.
Qualifications
Strong foundation in Computer Science, with experience in software architecture or scalable systems related to AI. Expertise in Machine Learning and Pattern Recognition, including model design, training, evaluation, and optimization. Hands-on experience in Data Science and Analytics, with the ability to translate complex data into actionable business insights. Proven track record leading AI or data-driven initiatives, preferably within financial services, wealth management, or related sectors. Advanced degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field is preferred. Strong strategic thinking, stakeholder management, and communication skills, with the ability to influence senior leadership. Knowledge of data governance, model risk, AI ethics, and relevant regulatory considerations. Ability to work effectively in a remote, cross-functional environment and mentor multidisciplinary teams.