About
LEGO Digital Play brings the LEGO brand into digital entertainment through innovative, wholly owned experiences. Its mission is to keep the LEGO brand meaningfully present in children's lives for decades and to create playful experiences for children, parents, and adult fans.
Responsibilities
•Define the long-term data vision and strategy across the organisation, collaborating with executive product, engineering, marketing, and business leaders on data-informed decisions
•Build and lead a multidisciplinary organisation across data engineering, BI, data science, and data product; hire and develop its leaders
•Own the end-to-end data platform, including tooling, vendor strategy, budget, ingestion, streaming and batch pipelines, and the warehouse, with clear reliability, freshness, and cost targets
•Establish organisation-wide data conventions with product and analytics leaders, including event taxonomy, schemas, data contracts, semantic layers, KPI definitions, and a single source of truth adopted by game teams
•Embed privacy by design and data governance, including consent, age-appropriate data handling, retention, access controls, and data subject rights, in partnership with legal, security, and trust and safety
•Build self-serve data access, analytics, experimentation, and data science capabilities so product, live-ops, marketing, finance, and leadership teams can answer questions and act on evidence
•Make product and revenue data finance-grade, providing reliable feeds to financial reporting systems, reconciling store and payment provider data, handling multiple currencies and FX, and implementing finance controls
•Collaborate with product, marketing, and analytics teams on user acquisition data modelling, including attribution and MMP integration, cohort, LTV and ROAS modelling, and spend optimisation analytics
Requirements
•Substantial experience leading data platform, data engineering, and analytics organisations, including building one from an early stage
•Track record of leading through other leaders across engineering, BI/analytics, and data science
•Deep technical fluency in modern data architecture, including cloud warehouses, streaming and batch processing, data modelling, semantic layers, and data quality; ability to evaluate and challenge technical designs
•Experience running data governance and privacy programmes under regulations such as GDPR and COPPA
•Credibility with data-fluent executives; able to discuss player, product, and business performance in depth and translate priorities into platform and team investments
•Experience owning data infrastructure and tooling budgets and vendor relationships
•Working knowledge of live-game measurement and operations, including engagement, retention, monetisation, live-ops KPIs, and related analytics
•Working depth in user acquisition analytics, including attribution and MMPs, LTV and ROAS modelling, and data-driven spend optimisation
•Experience delivering finance-grade data, including revenue reporting, reconciliation between product, store, and financial systems, and audit-ready controls
Nice to have
•Experience in mobile games and platforms
•Products for children or family audiences
•The Google Cloud data stack (BigQuery, Dataflow, Pub/Sub, Looker)
•Experimentation platforms
•Applied machine learning in production
•Licensed or brand-owned portfolios
Conditions
•The role is based in the London office
•Hybrid working policy: three days a week in the office
