Associate Director leading AI innovation and marketing operations at Airwallex. Develops infrastructure, strategy, and performance optimization for global marketing efforts.
Responsibilities
Define and lead the AI marketing roadmap, establishing a systematic evaluation framework for emerging tools (GenAI, automation) based on ROI, security, and integration feasibility.
Drive global rollout and adoption of AI technologies, creating playbooks and enablement materials to scale creative velocity and operational efficiency.
Lead the end-to-end Conversion Rate Optimization framework, managing structured experimentation, personalization, and UX testing to improve CVR and CAC.
Partner with Product Marketing and Web Engineering to ensure a seamless conversion journey from campaign messaging to landing page performance.
Own the global ad-ops infrastructure, ensuring compliant execution, standardized naming conventions, and flawless campaign governance across all paid media.
Manage pixel governance, UTM frameworks, and CRM integrations (Salesforce/Marketo) to ensure end-to-end attribution accuracy and lead-source integrity.
Build robust QA frameworks and automation workflows to reduce manual overhead in campaign setup and reporting.
Analyze and communicate the impact of AI, CRO, and AdOps initiatives to executive leadership, utilizing data to link technical optimizations to pipeline results.
Manage and coach a specialized cross-functional team, fostering a culture of technical curiosity, experimentation, and operational rigor.
Serve as the subject matter expert for marketing innovation, collaborating with Data Science and IT to align MarTech integrations with broader analytics infrastructure.
Requirements
10+ years of experience in Performance Marketing, Marketing Operations, or CRO, ideally in B2B SaaS or fintech.
Demonstrated success building or leading AI enablement programs within marketing organizations.
Deep understanding of marketing infrastructure, tracking, and data pipelines.
Proven ability to translate emerging technologies into measurable operational or revenue outcomes.
Strong leadership, stakeholder management, and program governance skills.
Bachelor’s or Master’s degree in Marketing Analytics, Computer Science, Statistics, Engineering, or Business Analytics.
Experience managing global evaluation and rollout of MarTech or AI systems is preferred.
Familiarity with data privacy, security, and AI governance frameworks is preferred.
Advanced understanding of creative automation and dynamic content testing is preferred.
Ability to synthesize technical, operational, and strategic perspectives into clear direction is preferred.
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