Director, Marketing Data Science & Analytics

About the role

Join Omaze as a Director of Marketing Data Science & Analytics to establish and lead a new team dedicated to marketing performance measurement. You will shape how a fast-growing consumer brand in the UK and Germany measures its marketing efforts, building capabilities and technology foundations. This role involves setting strategy and solving complex problems to ensure data-driven marketing decisions.

Key facts

What you'll do

• Build and lead a team covering Marketing Analytics, Marketing Data Science, and Marketing Engineering, defining its culture and operating model.
• Oversee all marketing measurement, integrating Marketing Mix Modeling, attribution, mobile measurement, and platform reporting into a unified view.
• Manage and develop the Marketing Mix Modeling program to guide investment and budget allocation.
• Implement experimentation as a standard practice using incrementality testing, geo experiments, holdouts, conversion lift studies, ghost ads, and switchback designs.
• Direct mobile measurement strategy, including MMP configuration and reconciliation for SKAdNetwork, AdAttributionKit, and post-IDFA measurement.
• Advance the marketing technology ecosystem, covering CDPs, attribution tools, CRM platforms, identity solutions, server-side tagging, conversion APIs, and audience activation.
• Define and govern key commercial metrics such as CAC, LTV/CAC, payback, contribution margin, and net contribution, collaborating with Finance for consistent reporting.
• Transition from descriptive reporting to predictive and prescriptive analytics, including lifetime value modeling, acquisition forecasting, and media optimization.
• Make build-versus-buy decisions for marketing technology and manage vendor relationships, contracts, and budgets.
• Lead the first-party data and privacy-era measurement strategy for the UK and Germany, ensuring GDPR and local privacy compliance.
• Serve as a trusted analytics partner to senior leaders, translating complex analysis into clear recommendations and board-ready insights.
• Improve experimentation, analytical rigor, and storytelling across the organization, promoting data quality and measurement best practices.
• Represent Marketing Data Science & Analytics within the broader Data & Analytics function, aligning with engineering, analytics, and data science standards.

Requirements

• Significant leadership experience at Director level, with a history of building and expanding high-performing analytics, data science, or marketing measurement teams.
• Deep knowledge of Marketing Mix Modeling, attribution, experimentation, and incrementality testing.
• Strong understanding of mobile measurement, privacy-first attribution, and the post-IDFA ecosystem, including SKAdNetwork and AdAttributionKit.
• Extensive experience designing and managing modern marketing technology ecosystems, including CDPs, server-side tagging, conversion APIs, and identity solutions.
• Proven ability to collaborate with Finance to define and govern commercial marketing metrics like CAC, LTV/CAC, payback, and contribution.
• Excellent communication skills, with experience influencing senior executives and presenting complex analysis to board-level stakeholders.
• Expert SQL skills and strong proficiency in Python or R for statistical analysis and modeling.
• Hands-on experience applying advanced customer segmentation techniques, predictive modeling, and causal inference methods.
• Experience in high-growth consumer, subscription, or direct-response businesses with substantial paid media investment.
• A track record of establishing marketing measurement or MarTech capabilities from inception.

Nice to have

• Experience with modern Marketing Mix Modeling approaches and causal inference techniques, including difference-in-differences, synthetic control, and instrumental variables.
• Experience operating across multiple European markets, particularly the UK and Germany, with an understanding of regional privacy requirements.
• Strong knowledge of the modern data stack and sufficient technical depth to partner with Data Engineering and establish engineering standards.

Skills & tools

• SQL
• Python
• R
• Marketing Mix Modeling
• Attribution
• Experimentation
• Mobile Measurement Platforms (MMPs)
• Customer Data Platforms (CDPs)
• CRM platforms
• SKAdNetwork
• AdAttributionKit
• Server-side tagging
• Conversion APIs

Practical notes

Omaze offers a generous stock options scheme, private medical and dental insurance, and a 9% employer pension contribution when you contribute at least 2%. There is an annual budget for learning and development, enhanced family leave policies, and life assurance of 4x your salary. The company values diversity and encourages all employees to bring their authentic selves to work.