Assistant Manager – Marketing Data, Analytics & AI
Role Overview
Build and run the marketing data, analytics, and AI capability, turning campaign, digital, enquiry-funnel, and market data into actionable decisions.
Own the marketing measurement framework, reporting infrastructure, and data flow across the marketing technology stack.
Lead responsible adoption of AI tools to improve the speed, quality, and cost of marketing output; serve as the department’s performance source of truth and analytical partner.
Key Skills for This Role
Full Job Posting
Job purpose
Build and run the marketing data, analytics, and AI capability, turning campaign, digital, enquiry-funnel, and market data into actionable decisions.
Own the marketing measurement framework, reporting infrastructure, and data flow across the marketing technology stack.
Lead responsible adoption of AI tools to improve the speed, quality, and cost of marketing output; serve as the department’s performance source of truth and analytical partner.
Key activities
- Own measurement frameworks and KPI definitions across brand, campaigns, PR, events, and digital.
- Build and maintain leadership dashboards for spend, funnel health, and performance.
- Analyze campaign and channel efficiency and recommend evidence-based budget reallocations.
- Run attribution and funnel analysis from first touch through qualified enquiry and sale.
- Identify, evaluate, and pilot AI tools for content generation and localization, creative variants, media planning, research synthesis, and reporting automation.
- Train and support the team on approved AI tools and track adoption and realized time and cost savings.
Qualifications and experience
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Analytics, Marketing, or a related field.
- Experience in marketing analytics, digital analytics, business intelligence, or data-driven marketing.
- Hands-on ownership of dashboards and a measurement framework, not solely report production.
- Demonstrable experience applying AI tooling in a commercial marketing or communications setting.
- Real estate, hospitality, destination, or retail sector experience is preferred.
Professional qualifications
- Certification in GA4, Google Ads, Meta Blueprint, Power BI, or Tableau is preferred.
- A recognized data, analytics, or AI credential is an advantage.
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