Director of Data - Analytics Engineering

1w1 week ago

Scopely

IE · Full-time · €180,000 – €250,000

About this role

Scopely is looking for a Director of Data to lead Analytics Engineering for Monopoly GO!, one of its largest and most successful titles. This role is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from Barcelona or Seville hubs. You will define how data is built, scaled, and used across the game, owning the platform, standards, and team.

In this position, you will operate as both an organizational leader and technical authority, shaping the vision for Analytics Engineering and evolving the data platform. Ensure data serves as a core competitive advantage, powering insight, experimentation, and decision-making at scale. Own the roadmap for Analytics Engineering and AI initiatives while promoting a data product mindset.

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions worldwide. The team spans Europe and the US, creating captivating experiences daily. Scopely is a global team of game lovers developing, publishing, and innovating in the mobile games industry.

Lead a high-performing Analytics Engineering team through hiring, performance management, and career development. Establish it as a Centre of Excellence, fostering community, learning, and innovation. Continuously improve organizational structure, processes, and execution velocity for greater impact.

Requirements

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)

Responsibilities

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 AI systems interaction with the data platform
Set direction for the data platform including pipelines, warehouse, and semantic/metrics layer
Own the metrics layer as a single source of truth across the organization
Own budget and investment decisions for data infrastructure and tooling
Maintain a high-performing Analytics Engineering team, including hiring and performance management