About the role
Responsibilities Lead the architecture and design of enterprise-scale Risk Management and Audit platforms across complex portfolios. Architect scalable, data-centric solutions with enterprise integrations and analytics platforms. Design logical, physical, and integration architectures. Enable AI/ML architecture, automation, and model governance in regulated environments. Work with cloud platforms, APIs, event-driven integration, and data pipelines. Support multi-year transformation programs while ensuring regulatory alignment, audit readiness, and technology resilience.
Qualifications 8+ years of experience in Solution Architecture. Experience in Financial Services, Insurance, or other regulated industries. Strong experience with GRC, Risk Management, or Audit platforms. Knowledge of Operational Risk, Financial Risk, Audit, Compliance, and Privacy. Experience with Cloud Platforms, APIs, Event-Driven Integration, and Data Pipelines. Experience designing enterprise data-centric architectures and integrations. Exposure to AI/ML architecture, automation, and model governance.
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About the role
Responsibilities Lead the architecture and design of enterprise-scale Risk Management and Audit platforms across complex portfolios. Architect scalable, data-centric solutions with enterprise integrations and analytics platforms. Design logical, physical, and integration architectures. Enable AI/ML architecture, automation, and model governance in regulated environments. Work with cloud platforms, APIs, event-driven integration, and data pipelines. Support multi-year transformation programs while ensuring regulatory alignment, audit readiness, and technology resilience.
Qualifications 8+ years of experience in Solution Architecture. Experience in Financial Services, Insurance, or other regulated industries. Strong experience with GRC, Risk Management, or Audit platforms. Knowledge of Operational Risk, Financial Risk, Audit, Compliance, and Privacy. Experience with Cloud Platforms, APIs, Event-Driven Integration, and Data Pipelines. Experience designing enterprise data-centric architectures and integrations. Exposure to AI/ML architecture, automation, and model governance.