Who is Quantium?

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world. We're ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage). The Product Analytics team has embraced AI-native ways of working across our analytical workflows, and we're now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves.

Our Team Operates Across Three Domains

- Retail Products — Building, transforming, and operating Quantium's global flagship analytics products including Q.Checkout and Q.Scan
- AI Client — Embedding with clients to deliver transformational AI programmes, bringing Quantium's analytics and AI capability directly into partner organisations
- AI Enablement — Rethinking how we operate as an analytics function, driving the tools,



frameworks, and practices that make AI-native delivery the default

This is a leadership role for someone ready to develop both people and AI-native analytics capability. You'll coordinate a team of analysts, guide them through technical and AI transformation challenges, and maintain your own technical involvement — all while growing your management skills in a cooperative, supportive environment.

We operate globally across Australia, India, the UK, and North America. You'll work across geographies and functions, helping your team deliver high-quality analytics outcomes while driving the AI transformation of your domain's workflows and assets.

How You'll Create Impact

Lead AI Transformation

- Drive the AI transformation of analytical assets and workflows within your domain, setting targets against our agentic maturity framework and holding the team accountable to progress
- Model AI-native ways of working — using AI tools in your own work and coaching your team to do the same with increasing sophistication
- Make judgement calls on where AI adds value and where human expertise must lead, building this critical thinking capability across your team
- Contribute to shaping our Agentic Development Framework, bringing practical experience from your domain to inform what works at scale

Team Development & Technical Coordination





- Coordinate analytics projects and support individual growth, helping each team member build both technical depth and AI-native capability
- Collaborate on setting goals, providing feedback, and identifying development opportunities aligned to evolving capability requirements
- Coordinate the development of analytics solutions across product initiatives, ensuring quality and consistency in technical approaches
- Support the adoption of new tools, methods, and agentic practices, helping your team move beyond basic AI usage toward workflow transformation

Cross-Functional Partnership

- Collaborate with Product, Engineering, and other teams to understand needs and priorities, translating between technical work and business requirements
- Work with other Analytics Leads to share approaches, coordinate AI transformation efforts, and avoid duplicating work across domains
- Contribute to planning and estimation processes, factoring in the efficiency gains from AI-native methods

The Superpowers You'll Be Bringing To The Team

- Technical depth: 7+ years of hands-on experience in data science or analytics roles, with strong Python and SQL skills and a solid understanding of data science methods and their practical application in commercial contexts.
- AI-native leadership: Active experience using AI coding and analytics tools (Claude, Claude Code, GitHub Copilot, ChatGPT, or similar) — comfortable enough to coach others, not just use the tools yourself — with sound judgement on when AI adds value versus when human expertise must lead.
- Cloud and engineering foundations: Good experience with Google Cloud Platform (GCP) and cloud-based analytics tools

📌 Lead Analyst (City of Sydney)
🏢 Quantium
📍 City of Sydney