Head of Marketing Data Science and Analytics

Overview

In this role you lead Marketing Analytics as a strategic partner to the CMO, turning data from paid media, CRM and third-party signals into growth. You set the analytics agenda, define measurement standards and guide data science teams to deliver actionable insights. You translate business questions into analytical requirements and ensure outputs support marketing decisions. You work across Marketing, Data, Engineering and AdTech to align measurement, data quality and commercial outcomes. You’ll influence senior leadership with forward-looking insights and strategic recommendations.

Responsibilities

• Define and own the Marketing Analytics roadmap to impact strategy, budget, and outcomes
• Establish measurement frameworks across channels, campaigns and customer segments
• Own the marketing measurement strategy (MMM, Multi-Touch Attribution, Incrementality, Customer Journey Analytics, funnel and KPI definitions)
• Deliver insights and strategic recommendations to Marketing and leadership
• Translate business questions into analytical specifications including inputs, outputs, methodologies and success criteria
• Serve as primary Marketing liaison for Data, Engineering and AdTech to ensure solutions meet requirements
• Partner with Commercial, Product, Web, AdTech and Data teams to ensure data quality and tracking integrity
• Present analytical findings to senior stakeholders in a clear, actionable manner

Key requirements

• 10+ years in Marketing Analytics or quantitative marketing, with at least 5 years in leadership
• Experience turning objectives into analytics programs that shape business strategy
• Proven leadership of analytics or data science teams and insight-driven decision making
• Expertise in AI-driven marketing optimization, advanced modelling and ML in marketing
• Strong understanding of MMM, attribution, incrementality testing, LTV and audience segmentation
• Experience in complex multi-channel environments; financial services or regulated industries preferred
• Strong stakeholder management and ability to influence both technical and non-technical audiences
• SQL, Python or R proficiency; experience with BI/visualisation tools

• stakeholder management
• communication
• influencing
• SQL
• Python or R
• Power BI

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