Requirements
Essential15+ years in data engineering, analytics, BI, architecture, or data leadershipProven experience building enterprise-grade data platformsExperience commercialising external data or intelligence productsDeep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)Strong AI, ML Ops, KPI, and executive reporting expertiseStrong understanding of PDPL/GDPRExcellent executive communication and influenceNice to HaveExperience in ticketing, events, travel, marketplaces, or entertainment techExperience with multi-tenant data productsExperience delivering market intelligence to enterprise clientsWhy Join webook?Own one of the most strategic data roles in the regionBuild intelligence products with direct revenue impactShape AI-driven decision-making at scaleWork at the intersection of technology, data, and live experiences
Description
Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?If yes, then this is the job you're looking for ,webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales. Role OverviewThe Director of Data Platforms & Intelligence is one of the most strategically significant leadership hires at webook.This role owns and integrates:Data PlatformsAnalytics & InsightsAI EnablementIntelligence ProductsCommercial Data MonetisationOperational & Executive Decision IntelligenceThis leader transforms webook’s data into a revenue-driving, intelligence-generating engine.What You’ll OwnData Platform Strategy & ArchitectureOwn the end-to-end data platform strategy aligned with product, engineering, and commercial goalsArchitect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant accessBuild on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)Ensure resilience during extreme traffic spikes and major eventsData Reliability & ObservabilityImplement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)Treat data incidents with production-level severityDeliver trusted, always-on data for real-time ops and BIBusiness Intelligence & Decision IntelligenceLead executive dashboards, KPI frameworks, forecasting, and operational metricsEnable self-service analytics with governed semantic layersPartner with Product, Marketing, Commercial, and Operations on proactive insightsPartner & Promoter Intelligence (Core 2026 Monetisation)Design and own data-as-a-product roadmapBuild promoter dashboards covering live entry & capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue & throughput intelligenceWork with Commercial on pricing, packaging, and go-to-marketAI Enablement & Predictive IntelligenceBuild data foundations for AI and ML modelsSupport recommendation systems, conversational UX, forecasting, and anomaly detectionOperationalise models with monitoring and retrainingGovernance, Security & ComplianceDefine policies for data access, retention, and protectionEnsure PDPL & GDPR compliance in partnership with CISO & DPOLeadership & Organisation BuildingLead Data Engineering, Analytics, BI, and Data Operations teamsDefine org structure, hiring plans, and career laddersAct as a core member of the Technology Leadership Team