Responsibilities

• Build, hire and lead a high-performing team across Marketing Analytics, Marketing Data Science and Marketing Engineering, creating the culture, standards and operating model for a new function.
• Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth.
• Lead and evolve Omaze's Marketing Mix Modelling programme, ensuring outputs directly influence investment and budget allocation decisions.
• Establish experimentation as standard practice through incrementality testing, geo experiments, holdouts, conversion lift studies, ghost ads and switchback designs.
• Own our mobile measurement strategy, including MMP configuration and reconciliation of SKAdNetwork, AdAttributionKit and post-IDFA measurement.
• Lead the evolution of our marketing technology ecosystem, including customer data platforms, attribution tools, CRM platforms, identity solutions, server-side tagging, conversion APIs and audience activation.
• Define and govern the commercial metrics that matter, including CAC, LTV/CAC, payback, contribution margin and net contribution, partnering closely with Finance to ensure consistent business reporting.
• Drive the transition from descriptive reporting to predictive and prescriptive analytics, including lifetime value modelling, acquisition forecasting and media optimisation.
• Shape build-versus-buy decisions across the marketing technology landscape and manage strategic vendor relationships, contracts and budgets.
• Lead our first-party data and privacy-era measurement strategy across the UK and Germany, ensuring compliance with GDPR and local privacy requirements.

Requirements

• Significant leadership experience at Director level, with a track record of building and scaling high-performing analytics, data science or marketing measurement teams.
• Deep expertise across Marketing Mix Modelling, attribution, experimentation and incrementally testing.
• Strong knowledge of mobile measurement, privacy-first attribution and the evolving post-IDFA ecosystem, including SKAdNetwork and AdAttributionKit.
• Extensive experience designing and leading modern marketing technology ecosystems, including CDPs, server-side tagging, conversion APIs and identity solutions.
• A proven ability to partner with Finance to define and govern commercial marketing metrics such as CAC, LTV/CAC, payback and contribution.
• Outstanding communication skills, with experience influencing senior executives and presenting complex analysis to board-level stakeholders.
• Expert SQL skills alongside strong Python or R for statistical analysis and modelling.
• Hands-on experience applying advanced customer segmentation techniques, predictive modelling and causal inference methods.
• Experience working within high-growth consumer, subscription or direct-response businesses with significant paid media investment.
• A track record of building marketing measurement or MarTech capabilities from the ground up.

Benefits

• Generous stock options scheme
• Private medical and dental insurance
• 9% employer pension contributions, when you contribute at least 2%
• A personal learning and development budget each year to use on training courses, conferences and professional memberships
• Personal equipment budget to work from home
• Enhanced family leave policies
• Life assurance of 4x your salary