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About the Role

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.

Responsibilities

• 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 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

Requirements

• 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
• 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

Skills

• Python
• SQL
• GCP
• Cloud-based analytics tools
• AI coding and analytics tools
• Communication
• Collaboration

Location

• Australia
• India
• UK
• North America

Work Type

• Hybrid
• Flexible work arrangements

Experience Level

• 7+ years

Education Level

• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field
• Equivalent demonstrated capability

Benefits

• Flexible work arrangements
• Global mobility

About the Company

• 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, AI Client, and AI Enablement.