Director of Data (Analytics Engineering), Monopoly GO!

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of Scopely’s largest and most successful titles. This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

In this role, you will define how data is built, scaled, and used across the game—owning the platform, standards, and team that power insight, experimentation, and decision-making at scale.

You will operate as both an organizational leader and technical authority: shaping the vision for Analytics Engineering, evolving the data platform, and ensuring data is a core competitive advantage for the business.

 

What You Will Do

Define Strategy, Vision & Operating Model

• Define the vision and operating model for Analytics Engineering as the organization scales
• Own the roadmap for Analytics Engineering and AI initiatives, driving insight at scale
• Promote a data product mindset, ensuring data assets are reliable, reusable, and easy to access
• Drive adoption of AI-enabled workflows in analytics, and define how AI systems interact with the data platform

Own Data Platform & Architecture

• Set direction for the data platform (pipelines, warehouse, semantic/metrics layer), optimizing for speed, reliability, and usability
• Own the metrics layer as a single source of truth across the organization
• Ensure scalable data pipelines and strong experimentation, reporting, and analytics capabilities
• Influence broader data architecture, including shared platforms like Playgami, and partner with central data teams

Own Investment & Resource Strategy

• Own budget and investment decisions for data infrastructure and tooling
• Continuously improve organizational structure, processes, and execution velocity

Lead & Scale the impact of Analytics Engineering as a Craft 

• Maintain a high-performing Analytics Engineering team, including hiring, performance management, and career development
• Define role architecture, promotion criteria, and calibration standards 
• Establish Analytics Engineering as a Centre of Excellence, fostering community, learning, and innovation
• Monitor and improve team health, capability, and performance

What We're Looking For

• Proven experience leading and scaling high-performing data or engineering organizations
• Deep understanding of modern data platforms (pipelines, warehouses, semantic layers)
• Strong technical judgment with the ability to influence architecture and standards at scale
• Track record of building or evolving data platforms for large-scale products
• Experience improving organizational effectiveness, processes, and team performance
• Ability to operate strategically and hands-on, connecting technical decisions to business impact
• Experience driving adoption of new paradigms (e.g., AI/ML, data products, modern data stack)
• Strong cross-functional leadership and stakeholder management skills

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