Head of Data Product (Digital Commerce)

About the role

Flight Centre Travel Group is looking for a Head of Data Product for its Digital Commerce division in South Bank, Queensland. You will define the strategy, roadmap and vision for how data creates commercial value across a portfolio of brands, influencing cross-functional teams and establishing a unified data foundation. The role works closely with Product, Engineering, Finance, Analytics, Privacy and Executive stakeholders.

Key responsibilities

• Own the Digital Commerce data strategy and roadmap, prioritising by commercial value and measurable outcomes
• Define the vision, principles and requirements for a unified, agent-ready data layer across the portfolio
• Partner with Data Engineering and platform teams to align delivery with commercial objectives
• Build portfolio-wide commercial performance baselines, including conversion, funnel economics, contribution margin and profitability
• Establish common metric definitions and reporting standards with Finance
• Lead the Group-level digital analytics strategy, including measurement standards for GA4 and GTM
• Work with Heads of Product to unlock access to valuable data assets
• Drive data governance alignment and define data access and usage within privacy and compliance requirements
• Foster a cross-brand data community and define team structures and operating models
• Present strategic recommendations to senior leadership

Required profile

• 8+ years in data, analytics, data product, data domain or data strategy roles
• Demonstrated success delivering quantified commercial outcomes through data initiatives
• Bachelor's degree in Data Science, Analytics, Commerce or a related field, or equivalent practical experience
• Exceptional stakeholder management across technical, commercial and executive audiences

Required skills

• Strong expertise in digital analytics and tag management platforms, including GA4 and GTM
• Advanced SQL and data modelling
• Experience with data mesh or similar product-oriented data management principles
• Data quality standards, SLAs and acceptance criteria with data engineering teams
• Working knowledge of data governance, privacy and compliance (GDPR, Privacy Act)
• Understanding of AI and agentic systems and their data requirements
• Advantageous: Databricks or similar lakehouse platforms, Agile/Scrum delivery

What we offer

• Learning and development through communities of practice, Innovation Days and Engineering Days
• Access to LinkedIn Learning, staff discounts, travel discounts and corporate health discounts
• Career opportunities across a global network of brands, promoted from within
• Employee assistance program, social events and a CSR program