Lead Business Analyst

Overview

As Lead Business Analyst in Computershare’s Issuer Services, you guide a team of analysts and collaborate with product, QA, engineering, and stakeholders to deliver customer-focused solutions. You drive requirements discovery, leverage AI and automation to boost efficiency, and mentor others in AI-enabled analysis. You’ll translate complex processes into actionable specs and support testing and delivery. This role offers leadership within a global, values-driven organization focused on innovation and service excellence.

Pay / Benefits

• Flexible work
• Health and wellbeing rewards
• Share purchase program with company contribution
• Recognition awards and team events
• Career development opportunities
• Welcoming, supportive culture

• Lead requirements discovery from stakeholders to user stories for new features
• Leverage AI tools and prompts to increase team efficiency
• Collaborate with Product Owners, QA, Engineering, and stakeholders to translate processes into requirements
• Identify processes suitable for automation or AI-enabled handling
• Mentor and develop other BAs in AI tools and methods
• Apply systems thinking and root-cause analysis to diagnose problems
• Support testing with QA/UAT teams and utilize AI to accelerate testing
• Manage team performance, growth, recruitment, and succession planning

• Clear understanding of the software development lifecycle and Agile methodologies
• Ability to translate business needs into requirements and communicate complex concepts plainly
• Hands-on experience building and using AI tools and automations to speed up analysis
• Ability to work with architects, developers, and testers to shape feasible requirements
• Strong troubleshooting skills
• Knowledge of analysis frameworks and documenting large domains, rules, and user journeys
• Attention to detail and a process/analytic mindset
• Process management knowledge with emphasis on output clarity
• Experience with AI-related work in banking products/technology (preferred)

• leadership
• stakeholder management
• problem-solving
• AI tools and automations for business analysis
• agile methodologies
• requirements engineering