Head of Quality Engineering

• Development of the strategic direction of the quality engineering function to harmonize with technology objectives
• build the quality engineering vision, strategy, and execution plan for Investor Services
• effectively communicates Investor Services testing strategy to stakeholders across the organization, clients and regulators
• develop and implement strong quality engineering governance for design, build and deployment of new applications
• define and implement common standards, procedures, and governance processes to create and maintain consistent and best in class engineering protocols
• provide thought leadership in quality engineering, new technologies including cloud, Gen AI, digital assets
• accountable for team budgeting, resourcing, stakeholder management and delivery
• standardization of quality engineering processes, tooling and improvements in testing quality at each key stage of the lifecycle
• championing automation with a focus on automation of testing and manual tasks
• implementation of CI/CD integrated testing methodologies
• build and embed SRE principles into quality engineering by implementing proactive failure detection, observability and automated resilience testing

• Significant experience (15+ years) working in Technology supporting Financial Services, preferably Transaction Banking, with commensurate people management experience
• an impactful delivery track record, including the build, testing, deployment, integration and ongoing management of large-scale technology ecosystems
• experience of application development and hybrid cloud and multi-cloud environments
• strong influencing skills and ability to work in an environment where priorities are frequently changing
• ability to engage with senior management with clear and concise written and verbal communication with the ability to develop working relationships across the organization
• ability to manage multiple activities and changing priorities, work under pressure to meet tight deadlines
• methodical, attention to detail, using data to drive discussions
• strong analytical and problem-solving skills
• perform complex problem solving and business trade off decision analysis

Knowledge of new toolsets, such as AI/ML for self-healing test automation, predictive defective analysis