Director of Customer Intelligence

About the role

Leaders set direction and build the conditions for their teams to succeed. They hire, coach, and hold people accountable. Leadership work spans strategy, communication, and decision making. Effective leaders give clear context and remove obstacles for the people who report to them. Leadership roles are measured by team outcomes, retention, and delivery. Most organizations expect leaders to be visible, predictable, and generous with context.

Key facts

Requirements

• 10+ years of experience in customer analytics, marketing analytics, business intelligence, data science, or a related quantitative discipline, including 5+ years leading high-performing analytics or data teams.
• Proven experience building and executing enterprise data and analytics strategies that drive measurable business outcomes across customer acquisition, lifecycle management, pricing, and commercial performance.
• Deep expertise in customer analytics including experimentation, attribution, marketing mix modeling, customer segmentation, forecasting, pricing analytics, and lifecycle measurement.
• Experience partnering closely with Data Science and Data Engineering organizations to define business requirements, influence technical roadmaps, and deliver scalable data products and analytical capabilities.
• Demonstrated success translating complex analytical concepts into clear recommendations that influence executive decision-making and cross-functional strategy.
• Strong understanding of modern data ecosystems, customer data platforms, data governance, and real-time data architectures, with experience improving accessibility, quality, and reliability of enterprise data.
• Experience leading analytics initiatives across multiple business functions while balancing competing priorities and aligning stakeholders around shared outcomes.
• Strong commercial acumen using data to optimize marketing investment, customer growth, retention, pricing strategies, and revenue performance.
• Experience leading, coaching, and developing high-performing analytical teams while fostering curiosity, accountability, and continuous improvement.
• Experience defining and leveraging AI-driven customer intelligence capabilities, including predictive models, customer intent modeling, recommendation engines, and AI-powered decision frameworks.
• Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Mathematics, Engineering, or a related quantitative field; advanced degree preferred.

Practical notes

You will be subject to E-Verify. Typical interview steps

Leadership hiring usually includes a strategy case, a people scenario, and a values conversation. Candidates may be asked to turn around a struggling team or plan for growth. Past results are examined closely, especially how decisions were made. Interviewers dig into specific decisions you made and their consequences. Preparing two or three decision stories with numbers and lessons is the best use of time.

Good to know

Data-driven roles of this type rely on experimentation, attribution, and measurement to guide decisions. AI-enabled transformation in customer analytics increasingly involves predictive models, intent modeling, and recommendation engines integrated into business workflows.

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Leadership careers move from manager to senior manager, director, and executive roles. Each step adds more scope and more responsibility for outcomes. The best leaders keep learning how to delegate, communicate, and decide. Leadership careers reward a record of building and developing people. The higher you go, the more your communication shapes the whole organization.

About the company

Digital financial services span Australia, New Zealand, USA. Operations serve 6.0 million active customers. Annual transactions reach A$10.1 billion. Revenue totals A$4.0 billion. Cash gross profit hits A$1.0 billion. Fiscal year results reflect scale. Company focus remains financial services. Jobs seek talent for growth areas. Teams work on transaction systems and customer solutions. Opportunities exist across functions. Candidates join a large scale operator in multiple locations.