
Director of Data Platforms & Intelligence
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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 Overview
The Director of Data Platforms & Intelligence is one of the most strategically significant leadership hires at webook.
This role owns and integrates:
• Data Platforms
• Analytics & Insights
• AI Enablement
• Intelligence Products
• Commercial Data Monetisation
• Operational & Executive Decision IntelligenceThis leader transforms webook’s data into a revenue-driving, intelligence-generating engine.
What You’ll Own
Data Platform Strategy & Architecture
• Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals
• Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access
• Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)
• Ensure resilience during extreme traffic spikes and major eventsData Reliability & Observability
• Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)
• Treat data incidents with production-level severity
• Deliver trusted, always-on data for real-time ops and BIBusiness Intelligence & Decision Intelligence
• Lead executive dashboards, KPI frameworks, forecasting, and operational metrics
• Enable self-service analytics with governed semantic layers
• Partner with Product, Marketing, Commercial, and Operations on proactive insightsPartner & Promoter Intelligence (Core 2026 Monetisation)
• Design and own data-as-a-product roadmap
• Build promoter dashboards covering live entry & capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue & throughput intelligence
• Work with Commercial on pricing, packaging, and go-to-marketAI Enablement & Predictive Intelligence
• Build data foundations for AI and ML models
• Support recommendation systems, conversational UX, forecasting, and anomaly detection
• Operationalise models with monitoring and retrainingGovernance, Security & Compliance
• Define policies for data access, retention, and protection
• Ensure PDPL & GDPR compliance in partnership with CISO & DPOLeadership & Organisation Building
• Lead Data Engineering, Analytics, BI, and Data Operations teams
• Define org structure, hiring plans, and career ladders
• Act as a core member of the Technology Leadership TeamRequirements
Essential
• 15+ years in data engineering, analytics, BI, architecture, or data leadership
• Proven experience building enterprise-grade data platforms
• Experience commercialising external data or intelligence products
• Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)
• Strong AI, ML Ops, KPI, and executive reporting expertise
• Strong understanding of PDPL/GDPR
• Excellent executive communication and influenceNice to Have
• Experience in ticketing, events, travel, marketplaces, or entertainment tech
• Experience with multi-tenant data products
• Experience delivering market intelligence to enterprise clients
Why Join webook?
• Own one of the most strategic data roles in the region
• Build intelligence products with direct revenue impact
• Shape AI-driven decision-making at scale
• Work at the intersection of technology, data, and live experiences
Requirements
- •15+ years in data engineering, analytics, BI, architecture, or data leadership
- •Proven experience building enterprise-grade data platforms
- •Experience commercialising external data or intelligence products
- •Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)
- •Strong AI, ML Ops, KPI, and executive reporting expertise
Nice to Have
- •Enable self-service analytics with governed semantic layers
- •Partner with Product, Marketing, Commercial, and Operations on proactive insights
- •Build promoter dashboards covering live entry capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue throughput intelligence
- •Build data foundations for AI and ML models
- •Support recommendation systems, conversational UX, forecasting, and anomaly detection
- •Define policies for data access, retention, and protection
- •Ensure PDPL GDPR compliance in partnership with CISO DPO
- •Lead Data Engineering, Analytics, BI, and Data Operations teams
Responsibilities
- •Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals
- •Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access
- •Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)
- •Ensure resilience during extreme traffic spikes and major events
- •Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)
- •Treat data incidents with production-level severity
- •Deliver trusted, always-on data for real-time ops and BI
- •Lead executive dashboards, KPI frameworks, forecasting, and operational metrics
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