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Head of Growth Analytics

Crypto.com

Greater London

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

A leading fintech company in Greater London seeks a Head of Marketing Intelligence to lead marketing measurement and analytics. The role involves building scalable attribution frameworks, advancing predictive models, and deploying AI-driven solutions. Candidates should have a proven track record in analytics, expertise in various modelling techniques, and strong leadership skills. This senior position will directly impact company growth, guiding data-driven decisions and marketing strategies.

Qualifications

  • Proven operational track record in analytics and data science.
  • Expertise in Attribution modelling and Marketing mix modelling.
  • Strong background in data governance and compliance.

Responsibilities

  • Define and own the marketing intelligence roadmap.
  • Lead the design and deployment of multi-touch attribution.
  • Develop and maintain high-impact dashboards in Tableau.

Skills

Analytics expertise
Data science
Leadership
Communication

Tools

AppsFlyer
Databricks
Google Marketing Platform
Google BigQuery
Tableau
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.

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.
AI & GenAI Use Cases
  • 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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