Key Responsibilities

• Lead the design, development, and delivery of advanced analytics products and use cases across client, market, risk, and operational domains
• Translate business requirements into scalable analytics solutions, ensuring products move from proof‑of‑concept to production‑grade deployment
• Partner with the Analytics Engagement Advisory Office to prioritise use cases based on strategic value, feasibility, and business impact
• Drive innovation in analytics methodologies, including predictive modelling, machine learning, NLP, and statistical analysis
• Establish product ownership disciplines, ensuring clear accountability for product performance, adoption, and continuous improvement
• Lead the engineering and development of AI, generative AI, and data products, leveraging modern platforms including Azure, Databricks, and cloud‑native architectures
• Build and operationalise GenAI capabilities includin...