AI-Driven Lifecycle Marketing Lead

Amazon; Sydney; Vor Ort; AUD 140.000 - 190.000; Vollzeit

Zusammenfassung

Amazon Australia is seeking an analytical, innovative marketer to lead customer engagement initiatives. As part of the AU Customer Lifecycle Marketing Team, you will develop programs across our digital landscape to delight customers and deepen relationships, including homepage, cross-site placements, email, push notifications, and landing pages.

The role emphasizes data-driven decision making using SQL and analytics dashboards, with opportunities to apply AI to accelerate insights, collaborate

Qualifikationen

• 8+ years of professional non-internship marketing experience.
• Experience using SQL or other analytical tools for data analysis.
• Experience building, executing and scaling cross-functional marketing programs.
• Experience with customer segmentation, profiling, and targeting.

Aufgaben

• Lead with data: use SQL, dashboards, and analytics tools to uncover customer insights and to inform campaign strategy.
• Apply generative AI and emerging technologies to streamline data analysis and improve campaign performance.
• Coordinate product rollouts with international teams, especially emerging marketplaces, for AU campaigns.
• Plan and execute marketing initiatives across email, push notifications, and landing pages to boost engagement and repeat purchases.
• Support A/B testing and test-and-learn programs to refine future campaigns.
• Develop models to retarget key customer segments with personalized lifecycle offers and messaging.

Kenntnisse

Data analysis

SQL proficiency

Cross-functional collaboration

Lifecycle marketing strategy

Jobbeschreibung

Amazon Australia is seeking an analytical, innovative marketer to lead customer engagement initiatives. As part of the AU Customer Lifecycle Marketing Team, you will develop programs across our digital landscape to delight customers and deepen relationships, including homepage, cross-site placements, email, push notifications, and landing pages.

The role emphasizes data-driven decision making using SQL and analytics dashboards, with opportunities to apply AI to accelerate insights, collaborate