VP, Head of Marketing Analytics

About the Role

Key Responsibilities

• Unify the data backbone of Marketing by centralizing all marketing analytics functions into a single, accountable team focused on speed, clarity, and strategic impact.
• Define and own the metrics that matter by establishing the 'true north' KPIs for Marketing and its functions, ensuring alignment across leaders, regions, and programs.
• Lead attribution and full-funnel visibility by managing end-to-end measurement architecture, including multi-touch attribution, MMM, lead scoring, campaign performance, pipeline diagnostics, and marketing impact.
• Develop segmentation, journey, and buying group models that reflect how modern enterprise decisions are made across personas, channels, and touchpoints.
• Champion AI as a growth and capacity engine by defining and prioritizing AI use cases, driving adoption, and making Marketing an AI-native, data-driven organization.
• Work cross-functionally with Data & Analytics, Sales, Finance, and other stakeholders to ensure shared definitions, connected systems, and an enterprise-wide view of marketing impact.
• Design and scale an analytics model that provides regional and functional marketing teams with data and self-serve insights for confident decision-making while maintaining enterprise alignment.
• Hire and develop a high-performance team of data scientists, marketing analysts, and business insight professionals, fostering a culture of accuracy, transparency, and velocity.
• Serve as a strategic partner to the CMO and Marketing Leadership Team, guiding the business with facts and influencing high-level decisions.

Requirements

• Thorough subject matter expertise in metrics, models, and methods that drive modern marketing performance.
• Deep experience in data architecture, attribution, funnel modeling, and performance frameworks.
• Proven track record deploying AI/ML in marketing, including forecasting, optimization, and anomaly detection.
• Strong command of Snowflake, Adobe Experience Cloud, ServiceNow, and modern BI platforms such as PowerBI or similar technologies.
• Executive presence and strategic mindset capable of guiding investments and influencing cross-functional decisions.
• A buying group mindset supported by data models that reflect how enterprise decisions are made.

Nice to Have

• Experience with AI/ML applications in marketing beyond forecasting, including optimization and anomaly detection.
• Familiarity with enterprise data systems and analytics tools.
• Experience leading global or large-scale marketing analytics teams.

Qualifications

• Not explicitly specified in the description.

Benefits & Perks

• Not explicitly specified in the description.