[ { "role": "Principle consultant - Contract", "company": "ADC Consulting", "endYear": "2024", "endMonth": "12", "location": "Sydney", "startYear": "2024", "startMonth": "8", "currentRole": false, "description": "Lead data strategy design and execution for private health insurance clients, delivering scalable solutions\naligned with their data migration and data transformation initiatives.\nKey Achievements:\n• Building and mentoring high performing data teams of 7 Data Analysts, achieving a 60% increase in project\ndelivery efficiency and skill enhancement across the data migration team.\n• Standardising dashboard redesign processes by building a robust data presentation layer, reducing project\ntimelines by 50%.\n• Directing pre-sales efforts for Data Lakehouse design and reporting solutions,\nsecuring over $450k in new business within the first 2 months." }, { "role": "Executive Manager Data Analytics (Head of)", "company": "Commonwealth Bank", "endYear": "2024", "endMonth": "4", "location": "Sydney", "startYear": "2021", "startMonth": "10", "currentRole": false, "description": "Led a strategic remediation initiative for the executive team, ensuring compliance with Royal Commission and\nASIC directives, focused on data integrity, customer experience, and regulatory adherence in large-scale data\nremediation within banking.\nKey Achievements:\n• Exceeded a complex remediation deadline by months, streamlining 300k+ cases by leveraging data-\nbacked insights to optimise executive decision-making and improve operational efficiency.\n• Developed a self-serve analytics platforms in retail banking using Power BI and remodeling of legacy data\nstructures, enhancing customer strategy and operational efficiency through actionable insights.\n• Increased data ingestion throughput by 300%, driving operational improvements and faster data availability.\n• Reduced 'problematic' customer segments by 75%, accelerating the customer remediation process.\n• Lead and coached a team of 15 data professionals, resulting in 4 promotions in 2023." }, { "role": "Senior Manager Data Decisioning", "company": "Commonwealth Bank", "endYear": "2021", "endMonth": "10", "location": "Sydney", "startYear": "2019", "startMonth": "9", "currentRole": false, "description": "Led transformative data science and AI initiatives in retail banking, driving process automation, improved\ncustomer decisioning, and optimised marketing strategies, aligning technical expertise with strategic growth\ngoals.\nKey Achievements:\n• Led analytics and AI teams to optimise targeted marketing through A/B testing and predictive modeling,\nsignificantly improving customer engagement and campaign effectiveness. (SQL, Python, H2O)\n• Data Governance - Implemented Pillar 3 data remediation for retail banking, establishing robust quality\ncontrols that enhanced financial reporting accuracy, addressing prior audit gaps in data governance.\n• Overhauled the credit risk assessment process by implementing data-driven automation for unsecured\nloans, introducing the bank’s first instant loan approval system based on historical data, aligning decisions\nwith risk appetite. (SQL)" }, { "role": "Manager Operational Analytics", "company": "Commonwealth Bank", "endYear": "2019", "endMonth": "9", "location": "Sydney", "startYear": "2018", "startMonth": "3", "currentRole": false, "description": "Responsible for a team of 5 Data Analysts tasked with optimising operational processes across retail and\ncommercial lending.\nKey Achievements:\n• Led data-driven workforce planning, implementing advanced analytics solutions to optimise allocation and\nenhance service delivery. (SQL, Teradata, Tableau)\n• Streamlined data access and analytics by redesigning and consolidating the data mart, improving efficiency\nand enabling real-time insights. (SQL, Teradata)\n• Created a sophisticated dashboard that reduced workforce planning time from one week to instant,\nboosting operational efficiency and decision-making agility. (Tableau)" }, { "role": "BI and Analytics Manager", "company": "William Hill", "endYear": "2018", "endMonth": "3", "location": "Sydney", "startYear": "2015", "startMonth": "3", "currentRole": false, "description": "Led the end-to-end development and execution of William Hill Australia’s data and analytics strategy, evolving the BI and analytics functions into high-performing, insight-driven teams. Oversaw both local and offshore data teams to deliver scalable reporting, predictive modelling, and strategic insights that supported business growth and operational efficiency.\n\nKey Achievements:\n\t•\tDefined and delivered the enterprise BI and analytics roadmap, including the creation of robust data marts, self-service analytics capabilities, and reporting automation. (SQL Server, SSIS, SSRS, SSAS, MicroStrategy)\n\t•\tLed the development of AI models using machine learning for cost optimisation and revenue generation, contributing to commercial decision-making. (SQL, Python)\n\t•\tDelivered data storytelling and A/B testing insights that shaped senior stakeholder decisions across marketing and business strategy.\n\t•\tEstablished a Master Data Management framework to improve backend data consistency and optimise data quality.\n\t•\tBuilt and scaled analytics capability, mentoring team members and integrating offshore resources to increase delivery capacity and efficiency." }, { "role": "Partner Consultant", "company": "IDS Consulting", "endYear": "2015", "endMonth": "3", "location": "Johannesburg, South Africa", "startYear": "2007", "startMonth": "1", "currentRole": false, "description": "Joined this specialist boutique technology consultancy as a Consultant and was promoted to Partner, contributing to its growth from 8 to 40 staff. Delivered a wide range of digital automation and analytics solutions across the financial services sector, working end-to-end from client engagement and solution design to implementation and advisory. Built strong relationships with senior stakeholders, translating complex business requirements into impactful, data-driven systems.\n\nKey Achievements:\n\t•\tLed the full lifecycle design and implementation of a credit risk data warehouse and BI system for a wealth advisory division, enabling improved credit assessment and regulatory reporting.\n\t•\tDeveloped credit scoring models and automated monthly reporting using the Microsoft SQL Server suite (SSIS, SSRS, SSAS) and .NET.\n\t•\tDelivered a unified customer view platform across banking, investments, and third-party products, improving advisor productivity and portfolio oversight. (C# .NET front end, SQL Server backend, SSRS reporting)\n\t•\tBuilt a predictive modelling tool to recommend “next best products” using propensity modelling, boosting cross-sell opportunities and customer engagement.\n\t•\tMentored consultants and delivered BI training for client teams, supporting capability uplift and sustainable solution ownership.\n\t•\tAdvised clients on business process automation, helping modernise legacy systems through innovative, scalable solutions." } ]