IT Risk and Data Governance Manager, IT Risk
Posted Updated
Description
This is a mid-level position ideal for candidates looking to grow their career in IT Risk Management.
We are seeking an experienced IT Risk Manager with deep expertise in data integrity, data governance, and AI-driven automation to join our 1st Line of Defence (1LOD) IT Risk team. This role will be instrumental in establishing and operationalizing IT controls, data integrity controls framework, advancing AI-powered automation of IT risk processes, and supporting data governance initiatives across our payment regulated entities
Key job responsibilities
Data Integrity:
• Design, implement, and maintain the data quality controls
• Design and implement IT risk controls, mitigation strategies, and remediation plans
• Assess IT risks across cloud computing infrastructure, including cloud security controls.
• Support the development and implementation of data governance policies, standards, and procedures across the IT risk domain
• Establish data quality management processes, drive data lineage
• Drive the design and implementation of AI-powered automation for IT risk processes
• Contribute to AI/ML model risk management
We are seeking an experienced IT Risk Manager with deep expertise in data integrity, data governance, and AI-driven automation to join our 1st Line of Defence (1LOD) IT Risk team. This role will be instrumental in establishing and operationalizing IT controls, data integrity controls framework, advancing AI-powered automation of IT risk processes, and supporting data governance initiatives across our payment regulated entities
Key job responsibilities
Data Integrity:
• Design, implement, and maintain the data quality controls
• Design and implement IT risk controls, mitigation strategies, and remediation plans
• Assess IT risks across cloud computing infrastructure, including cloud security controls.
• Support the development and implementation of data governance policies, standards, and procedures across the IT risk domain
• Establish data quality management processes, drive data lineage
• Drive the design and implementation of AI-powered automation for IT risk processes
• Contribute to AI/ML model risk management