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Marketing Ai & Analytics Lead

Salt
Dubai, UAE
Full Time
Lead
Onsite
1 months ago
Marketing AnalyticsBusiness IntelligenceAttribution ModelingLooker StudioPower BITableau
Free

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Marketing AnalyticsBusiness IntelligenceAttribution Modeling
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About the Role

  • We are partnering with a fast growing, technology driven company undergoing a significant AI transformation. The organisation is looking for a Marketing AI & Analytics Lead to sit at the intersection of marketing measurement, business intelligence, and AI enablement.
  • This role has a dual mandate: Own the end to end marketing analytics ecosystem, and drive AI adoption across the marketing organisation.

Key Responsibilities Marketing Analytics & Measurement

  • Own marketing performance measurement across multiple business units and customer journeys.
  • Develop and maintain a Single Source of Truth (SSOT) for marketing reporting.
  • Track and analyse acquisition, retention, engagement, CAC, LTV, conversion funnels, and campaign performance.
  • Build and maintain executive dashboards and reporting frameworks.
  • Ensure data consistency across CRM systems, attribution platforms, advertising platforms, and internal databases.
  • Automate recurring reporting and insight generation wherever possible.
  • Deliver actionable recommendations that improve marketing efficiency and business outcomes.

Attribution & Tracking

  • Design and manage attribution frameworks across web and mobile channels.
  • Oversee implementation and validation of event tracking, tagging, and measurement architecture.
  • Ensure strong governance around UTMs, event taxonomies, and campaign tracking.
  • Identify and resolve discrepancies across measurement platforms.
  • Partner with Product and Engineering teams to improve data quality and tracking infrastructure.

AI Transformation & Enablement

  • Identify high impact opportunities for AI driven workflow transformation.
  • Build AI tools, agents, automations, and internal solutions that improve productivity.
  • Help marketers integrate AI into their daily workflows.
  • Develop scalable solutions that can be adopted across multiple teams.
  • Drive adoption of AI across campaign execution, reporting, content production, landing pages, and operational processes.
  • Support the organisation's transition towards increasingly autonomous and agentic workflows.

What Success Looks Like

  • A trusted, centralised marketing reporting framework is established.
  • Marketing attribution accuracy significantly improves.
  • Reporting for leadership becomes highly automated.
  • Marketing teams actively use AI tools in their day to day work.
  • Data driven recommendations contribute to measurable improvements in CAC and marketing efficiency.
  • AI adoption becomes embedded within the marketing operating model.

Requirements Essential Experience

  • 4–7+ years of experience in Marketing Analytics, Business Intelligence, Performance Marketing Analytics, MIS, or a related AI/automation role.
  • Hands on experience building AI powered tools, agents, workflows, or automations that drive measurable business impact.
  • Strong experience with BI and reporting tools such as Looker Studio, Power BI, Tableau, or similar.
  • Advanced Excel and/or Google Sheets skills.
  • Experience working with attribution and measurement platforms, CRM systems, and digital advertising platforms.
  • Strong analytical and problem solving skills.
  • Comfortable working with ambiguity, incomplete datasets, and fast moving environments.

Preferred Experience

  • Attribution modelling, funnel analysis, cohort analysis, CAC, LTV, and incrementality testing.
  • API integrations, webhooks, or automated data pipelines.
  • Experience within high growth technology businesses, fintech, proptech, marketplaces, or digital first organisations.
  • Understanding of marketing workflows and operational challenges.

Ideal Candidate

  • Builder and operator rather than strategist alone.
  • Comfortable creating working solutions and prototypes quickly.
  • Strong commercial mindset with the ability to connect insights to business outcomes.
  • AI native and experienced in applying AI to real world business problems.
  • Thrives in fast paced, evolving environments with multiple stakeholders and competing priorities.

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