Marketing Web3 Jobs in Singapore

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Job Position Company Posted Location Salary Tags

Crypto.com

Singapore, Singapore

$157k - $160k

Windranger Labs

Singapore, Singapore

$87k - $110k

CoinGecko

Singapore, Singapore

$105k - $120k

Crypto.com

Singapore, Singapore

$32k - $58k

Equitize

Singapore, Singapore

$94k - $107k

visa

Singapore, Singapore

$140k - $192k

Bullet

Singapore, Singapore

$60k - $120k

Treehouse Labs

Singapore, Singapore

$72k - $75k

Circle

Singapore, Singapore

$91k - $96k

Crypto.com

Singapore, Singapore

$39k - $45k

Crypto.com

Singapore, Singapore

$32k - $58k

Gemini

Singapore, Singapore

$105k - $148k

Windranger Labs

Singapore, Singapore

$84k - $162k

Zeta Markets

Singapore, Singapore

$91k - $150k

HELIX

Singapore, Singapore

$72k - $75k

Crypto.com
$157k - $160k estimated
Singapore, Singapore
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VP of Marketing Intelligence

Singapore, Singapore
Marketing – Growth /
Hybrid

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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.
    • 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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