Support the development and maintenance baseline data quality and AI audit testing programs that can be consistently applied across integrated and business audits, enabling scalable and effective coverage of data and AI related risks by wider audit teams
Stakeholder Coordination: collaborate with stakeholders across business, operations, technology, and support functions to facilitate project delivery and alignment
The complexity of AI governance issues can provide a stimulating intellectual challenge, appealing to those who enjoy analytical thinking and problem-solving.
Your Opportunity Starts Here.Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
Your Opportunity Starts Here.Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
Manage relationships and communicate clearly with key stakeholders on project status, key risks and issues as well as maintaining of prioritised Product Backlog
Support workload onboarding and platform transformation: Partner with application owners and production support teams to onboard, migrate, and integrate workloads onto enterprise scheduling platforms. Contribute to platform modernisation and migration initiatives while ensuring appropriate planning, validation, control, and service continuity.
You manage data integrity through SQL and database validation, and leverage AI technologies to enhance development efficiency, automation, and intelligent lending capabilities. You collaborate closely with business, operations, and regulatory stakeholders while ensuring proper documentation, communication, and audit traceability.
Operationalise first-line AI governance across the AI lifecycle, including proportionate controls, human oversight, traceability, clear ownership and alignment with enterprise policies and second-line requirements.