Director, Marketing Creative Intelligence

Hace 2 días

Barcelona, España Scopely Jornada completa

Experteer Overview As Director, Creative Intelligence in Barcelona, you will lead strategy, measurement, and tooling for our creative data team, guiding how we understand what drives creative success across Scopely's portfolio.
You'll manage a multidisciplinary group, partnering with Marketing, UA, Analytics, Community, and the internal creative agency to improve marketing outcomes.
The role blends tagging, data analysis, research, experimentation, and AI to uncover why certain creative works.
You'll shape the portfolio's creative direction by identifying whitespace before launches and translating insights into action that scales across games.
Compensaciones / Beneficios
• Set the Creative Intelligence strategy and roadmap, including priorities, products, measurement needs, and team goals
• Lead and develop a multidisciplinary team across creative analytics and AI enablement
• Measure creative success and support testing across live and slate games, integrating tagging, performance data, audience research, competitive intelligence, and other signals
• Own the creative analytics product roadmap, prioritizing dashboards, tagging, data quality, reporting, and self-service tools
• Partner with Analytics to articulate business questions, secure support, and drive delivery, validation, and adoption
• Use AI to expand the function with tools like Claude for data interrogation, hypothesis testing, and automated reporting
• Translate data into clear creative guidance and own game-level reporting to inform strategy
• Collaborate with Marketing and internal creative agency to apply performance data and competitive intelligence to creative planning Responsabilidades
• Experience leading advanced marketing analytics, data science, marketing science, measurement, consumer insights, or a related function
• Track record of developing measurement frameworks and metrics linking marketing/creative inputs to business outcomes
• Strong ability to use quantitative and qualitative evidence to answer ambiguous questions with experimentation, attribution, incrementality, benchmarking, and predictive analysis
• Hands-on comfort with modern AI tools and collaboration with Analytics, Data Science, and Engineering; SQL, Python, data pipelines or BI experience valuable but not primary
• Strong people leadership and analytics product ownership, with excellent communication, adaptability, urgency, follow-through, and cross-functional trust Requisitos principales •