Lead Analyst - Product Analytics

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.

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).

Product Analytics is leading Quantium’s AI transformation. Our 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 collaborative, supportive environment.

The Product Analytics team operates 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 actively 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 on 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 & Collaboration

• 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 that align with the evolving capability requirements
• Create an environment where team members feel supported to experiment with AI, learn from what doesn’t work, and share what does
• Connect team members across different time zones, working styles, and experience levels

Technical Coordination & Strategy

• Coordinate the development of analytics solutions across product initiatives, ensuring quality and consistency in technical approaches
• Stay connected to technical work while developing strategic thinking about team capabilities and the AI maturity of your assets
• Support the adoption of new tools, methods, and agentic practices — helping your team move beyond basic AI usage toward workflow transformation
• Contribute to technical decisions with input from your team and leadership

Cross-Functional Partnership

• Collaborate with Product, Engineering, and other teams to understand needs and priorities
• Translate between technical work and business requirements — increasingly framing analytics capability in terms of AI-native delivery and measurable impact
• 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 credibility: 7+ years in data science or analytics, with strong Python and SQL skills and solid experience with GCP and cloud-based analytics tools. You understand the work your team does because you’ve done it yourself.

AI-native leadership: Active experience with AI coding and analytics tools — comfortable enough to coach others, not just use the tools yourself. You have a clear vision for how AI transforms analytical work, not just makes existing processes faster.

People focus: A genuine interest in helping others grow. You don’t need to have managed a team before — but you’re ready to step into that space, develop your leadership style, and bring your team along on the AI transformation journey.

Adaptability: Comfortable navigating a rapidly changing technical environment. You can balance hands-on technical work with team coordination, and you approach the pace of AI evolution with curiosity rather than anxiety.

Required Experience And Capabilities

• 7+ years of experience in data science or analytics roles, with readiness to take on coordination and leadership responsibilities
• Strong experience with Python and SQL for data analysis and solution development
• Good experience with Google Cloud Platform (GCP) and cloud-based analytics tools
• Solid understanding of data science methods, statistical approaches, and their practical application in commercial contexts
• Active experience using AI coding and analytics tools (Claude, Claude Code, GitHub Copilot, ChatGPT, or similar) — comfortable enough to coach others
• Demonstrated ability to critically assess AI-generated outputs and make sound judgement calls about when AI adds value versus when human expertise must lead
• Interest in or understanding of agentic development patterns — building workflows where AI executes multi-step tasks with human oversight
• Good communication and collaboration skills across cultures, time zones, and experience levels
• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field — or equivalent demonstrated capability

 

Desirable

• Experience mentoring, training, or leading teams — formal or informal
• Retail analytics background or interest in learning about consumer behaviour and business applications
• Previous exposure to product development environments or cross-functional collaboration
• Experience working across different cultures or in distributed teams
• Understanding of data governance, privacy considerations, and ethical AI practices

 

What Could Your Quantium Experience Look Like?

Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigour, precision and by asking great questions — but it also means you can think big, outside the box and push your problem-solving skills to the max.

By joining the Quantium team, you’ll get to:

Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own.

Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners).

Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.

Benefits

On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:

Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements.

Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium.

Apply now and let’s forge a better, more intelligent world together!

Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.