Head of Growth Analytics

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Dubai, United Arab Emirates

•On-site•

Full-time

•

Posted 5 months ago

Marketing

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Job Description

We are seeking a Head of Marketing Intelligence to lead our marketing measurement and analytics strategy. This role is designed for a proven operator who combines deep analytics and data science expertise with hands-on experience working closely with marketing teams to drive performance. You will be responsible for building scalable attribution frameworks, advancing predictive and probabilistic models, and deploying AI-driven and automated solutions (including Generative AI) that unearth actionable insights to drive customer growth. This is a senior leadership role with high visibility and direct impact on company growth.

Requirements

Proven operational track record in analytics and data science, with extensive experience in marketing measurement.
Expertise in Attribution modelling (deterministic, probabilistic, MTA) Marketing mix modelling (MMM) AI / ML applications in marketing analytics
Generative AI solutions for insights automation and customer growth strategies. AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuerySQL and Tableau
Strong background in data governance, compliance, and privacy frameworks.
Excellent communicator able to simplify complex analytics and AI-driven insights into clear business recommendations.
Experience in fast-growth industries such as mobile apps, gaming, fintech, or subscription models preferred.

Responsibilities

Leadership & Strategy

Define and own the marketing intelligence roadmap.
Build and lead a high-performing team of analysts, engineers, and data scientists.
Partner with Growth, Data, Finance and Product Marketing leadership to enable data-driven decisions.

Measurement & Modelling

Lead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches.
Champion marketing mix modelling (MMM) to measure cross-channel ROI and incrementality.
Advance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI-powered models for greater accuracy.

AI, GenAI & Automation

Deploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation.

Introduce Generative AI (GenAI) solutions for:

Automated campaign insights (“explain spend efficiency by channel in natural language”).
Dynamic customer journey clustering to identify emerging cohorts.
Generating personalized marketing narratives and creative testing at scale.
Build a culture of automation where insights flow seamlessly into marketing strategy and execution.

Data Infrastructure & Governance

Oversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery.
Ensure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations.

Reporting & Insights

Develop and maintain high-impact dashboards in Tableau.
Deliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI-driven summaries for executives.
Act as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity.

Responsibilities

Leadership & Strategy

Define and own the marketing intelligence roadmap.
Build and lead a high-performing team of analysts, engineers, and data scientists.
Partner with Growth, Data, Finance and Product Marketing leadership to enable data-driven decisions.

Measurement & Modelling

Lead the design and deployment of multi-touch attribution (MTA) and probabilistic attribution approaches.
Champion marketing mix modelling (MMM) to measure cross-channel ROI and incrementality.
Advance predictive analytics for LTV, churn, and customer journey optimisation, leveraging AI-powered models for greater accuracy.

AI, GenAI & Automation

Deploy AI and machine learning models for anomaly detection, predictive spend optimization, and customer segmentation.

Introduce Generative AI (GenAI) solutions for:

Automated campaign insights (“explain spend efficiency by channel in natural language”).
Dynamic customer journey clustering to identify emerging cohorts.
Generating personalized marketing narratives and creative testing at scale.
Build a culture of automation where insights flow seamlessly into marketing strategy and execution.

Data Infrastructure & Governance

Oversee marketing data pipelines and modelling powered by AppsFlyer, Databricks, Google Marketing Platform, and Google BigQuery.
Ensure strong data governance, quality, and compliance with GDPR, CCPA, ATT, and other privacy regulations.

Reporting & Insights

Develop and maintain high-impact dashboards in Tableau.
Deliver regular insights that guide marketing investment and strategy, supported by automated reporting and GenAI-driven summaries for executives.
Act as the bridge between advanced AI/ML outputs and marketing strategy, ensuring models directly influence spend and creativity.

Requirements

Proven operational track record in analytics and data science, with extensive experience in marketing measurement.
Expertise in Attribution modelling (deterministic, probabilistic, MTA) Marketing mix modelling (MMM) AI / ML applications in marketing analytics
Generative AI solutions for insights automation and customer growth strategies. AppsFlyer, Databricks, Google Marketing Platform, AWS & Google BigQuerySQL and Tableau
Strong background in data governance, compliance, and privacy frameworks.
Excellent communicator able to simplify complex analytics and AI-driven insights into clear business recommendations.
Experience in fast-growth industries such as mobile apps, gaming, fintech, or subscription models preferred.

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