Develop and scale Pay for Performance commercial models across the SSO portfolio: outcome-linked pricing, gain-share and value-based constructs; working with Product, Pricing, Finance and Legal to make them repeatable in-market.
Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
AI use-case assessment: Identify and prioritise opportunities across banking processes. Assess business value, data readiness, feasibility, implementation costs and risks; develop business cases and delivery roadmaps.
Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).
Participate in the planning and development of AI customer service products; assist in mapping out user scenarios, product workflows, and feature requirements.
Design, develop and implement AI-powered applications and intelligent automation solutions using Microsoft Azure AI technologies, ensuring seamless integration with existing systems.
Lead OS Implementation: Lead the design and implementation of the ioshii innovation OS, integrating operational information, tasks, communications, SOPs, and management reporting.